{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,19]],"date-time":"2026-05-19T16:39:41Z","timestamp":1779208781776,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":75,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,7,11]],"date-time":"2021-07-11T00:00:00Z","timestamp":1625961600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2020YFA0309702"],"award-info":[{"award-number":["2020YFA0309702"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Natural Science Foundation of China","award":["U20B2047, 62072421, 62002334, 61972373"],"award-info":[{"award-number":["U20B2047, 62072421, 62002334, 61972373"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,7,11]]},"DOI":"10.1145\/3460319.3464804","type":"proceedings-article","created":{"date-parts":[[2021,7,8]],"date-time":"2021-07-08T22:18:43Z","timestamp":1625782723000},"page":"607-619","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":37,"title":["A lightweight framework for function name reassignment based on large-scale stripped binaries"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9798-6985","authenticated-orcid":false,"given":"Han","family":"Gao","sequence":"first","affiliation":[{"name":"University of Science and Technology of China, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shaoyin","family":"Cheng","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yinxing","family":"Xue","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5576-6108","authenticated-orcid":false,"given":"Weiming","family":"Zhang","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,7,11]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.449"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/2786805.2786849"},{"key":"e_1_3_2_1_3_1","volume-title":"Proceedings of The 33rd International Conference on Machine Learning, Maria Florina Balcan and Kilian Q. Weinberger (Eds.) (Proceedings of Machine Learning Research","volume":"2100","author":"Allamanis Miltiadis","year":"2016","unstructured":"Miltiadis Allamanis , Hao Peng , and Charles Sutton . 2016 . A Convolutional Attention Network for Extreme Summarization of Source Code . In Proceedings of The 33rd International Conference on Machine Learning, Maria Florina Balcan and Kilian Q. Weinberger (Eds.) (Proceedings of Machine Learning Research , Vol. 48). 2091\u2013 2100 . http:\/\/proceedings.mlr.press\/v48\/allamanis16.html Miltiadis Allamanis, Hao Peng, and Charles Sutton. 2016. A Convolutional Attention Network for Extreme Summarization of Source Code. In Proceedings of The 33rd International Conference on Machine Learning, Maria Florina Balcan and Kilian Q. Weinberger (Eds.) (Proceedings of Machine Learning Research, Vol. 48). 2091\u20132100. http:\/\/proceedings.mlr.press\/v48\/allamanis16.html"},{"key":"e_1_3_2_1_4_1","volume-title":"International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=H1gKYo09tX","author":"Alon Uri","year":"2019","unstructured":"Uri Alon , Shaked Brody , Omer Levy , and Eran Yahav . 2019 . code2seq: Generating Sequences from Structured Representations of Code . In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=H1gKYo09tX Uri Alon, Shaked Brody, Omer Levy, and Eran Yahav. 2019. code2seq: Generating Sequences from Structured Representations of Code. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=H1gKYo09tX"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3290353"},{"key":"e_1_3_2_1_6_1","unstructured":"Antti Haapala. 2021. python-Levenshtein. https:\/\/github.com\/ztane\/python-Levenshtein  Antti Haapala. 2021. python-Levenshtein. https:\/\/github.com\/ztane\/python-Levenshtein"},{"key":"e_1_3_2_1_7_1","unstructured":"Avast Software. 2021. RetDec. https:\/\/retdec.com  Avast Software. 2021. RetDec. https:\/\/retdec.com"},{"key":"e_1_3_2_1_8_1","volume-title":"3rd International Conference on Learning Representations, ICLR, Yoshua Bengio and Yann LeCun (Eds.). arxiv:1409","author":"Bahdanau Dzmitry","year":"2015","unstructured":"Dzmitry Bahdanau , Kyunghyun Cho , and Yoshua Bengio . 2015 . Neural Machine Translation by Jointly Learning to Align and Translate . In 3rd International Conference on Learning Representations, ICLR, Yoshua Bengio and Yann LeCun (Eds.). arxiv:1409 .0473 Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015. Neural Machine Translation by Jointly Learning to Align and Translate. In 3rd International Conference on Learning Representations, ICLR, Yoshua Bengio and Yann LeCun (Eds.). arxiv:1409.0473"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1209"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1026"},{"key":"e_1_3_2_1_11_1","volume-title":"Alice Shoshana Jakobovits, and Torsten Hoefler","author":"Ben-Nun Tal","year":"2018","unstructured":"Tal Ben-Nun , Alice Shoshana Jakobovits, and Torsten Hoefler . 2018 . Neural Code Comprehension: A Learnable Representation of Code Semantics. In Advances in Neural Information Processing Systems, S. Bengio, H. Wallach, H. Larochelle, K. Grauman, N. Cesa-Bianchi, and R. Garnett (Eds.). 31, Curran Associates, Inc ., 3585\u20133597. https:\/\/proceedings.neurips.cc\/paper\/2018\/file\/17c3433fecc21b57000debdf7ad5c930-Paper.pdf Tal Ben-Nun, Alice Shoshana Jakobovits, and Torsten Hoefler. 2018. Neural Code Comprehension: A Learnable Representation of Code Semantics. In Advances in Neural Information Processing Systems, S. Bengio, H. Wallach, H. Larochelle, K. Grauman, N. Cesa-Bianchi, and R. Garnett (Eds.). 31, Curran Associates, Inc., 3585\u20133597. https:\/\/proceedings.neurips.cc\/paper\/2018\/file\/17c3433fecc21b57000debdf7ad5c930-Paper.pdf"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2010.5596659"},{"key":"e_1_3_2_1_13_1","volume-title":"Schwartz","author":"Brumley David","year":"2011","unstructured":"David Brumley , Ivan Jager , Thanassis Avgerinos , and Edward J . Schwartz . 2011 . BAP : A Binary Analysis Platform. In Computer Aided Verification, Ganesh Gopalakrishnan and Shaz Qadeer (Eds .). 463\u2013469. isbn:978-3-642-22110-1 David Brumley, Ivan Jager, Thanassis Avgerinos, and Edward J. Schwartz. 2011. BAP: A Binary Analysis Platform. In Computer Aided Verification, Ganesh Gopalakrishnan and Shaz Qadeer (Eds.). 463\u2013469. isbn:978-3-642-22110-1"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2807452"},{"key":"e_1_3_2_1_15_1","unstructured":"Canonical Ltd.. 2021. Enterprise Open Source and Linux | Ubuntu. https:\/\/ubuntu.com  Canonical Ltd.. 2021. Enterprise Open Source and Linux | Ubuntu. https:\/\/ubuntu.com"},{"key":"e_1_3_2_1_16_1","unstructured":"Canonical Ltd.. 2021. Ubuntu Debug Symbol Packages. https:\/\/wiki.ubuntu.com\/Debug_Symbol_Packages  Canonical Ltd.. 2021. Ubuntu Debug Symbol Packages. https:\/\/wiki.ubuntu.com\/Debug_Symbol_Packages"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/WCRE.2010.24"},{"key":"e_1_3_2_1_18_1","volume-title":"CoRR, abs\/1712.09662","author":"Chen Qiming","year":"2017","unstructured":"Qiming Chen and Ren Wu. 2017. CNN Is All You Need. CoRR, abs\/1712.09662 ( 2017 ), arxiv:1712.09662 Qiming Chen and Ren Wu. 2017. CNN Is All You Need. CoRR, abs\/1712.09662 (2017), arxiv:1712.09662"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939785"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1179"},{"key":"e_1_3_2_1_21_1","volume-title":"Neural Nets Can Learn Function Type Signatures From Binaries. In 26th USENIX Security Symposium (USENIX Security 17)","author":"Chua Zheng Leong","year":"2017","unstructured":"Zheng Leong Chua , Shiqi Shen , Prateek Saxena , and Zhenkai Liang . 2017 . Neural Nets Can Learn Function Type Signatures From Binaries. In 26th USENIX Security Symposium (USENIX Security 17) . 99\u2013116. isbn:978-1-931971-40-9 https:\/\/www.usenix.org\/conference\/usenixsecurity17\/technical-sessions\/presentation\/chua Zheng Leong Chua, Shiqi Shen, Prateek Saxena, and Zhenkai Liang. 2017. Neural Nets Can Learn Function Type Signatures From Binaries. In 26th USENIX Security Symposium (USENIX Security 17). 99\u2013116. isbn:978-1-931971-40-9 https:\/\/www.usenix.org\/conference\/usenixsecurity17\/technical-sessions\/presentation\/chua"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3428293"},{"key":"e_1_3_2_1_23_1","volume-title":"2019 IEEE Symposium on Security and Privacy (SP). 472\u2013489","author":"Ding S. H. H.","unstructured":"S. H. H. Ding , B. C. M. Fung , and P. Charland . 2019. Asm2Vec: Boosting Static Representation Robustness for Binary Clone Search against Code Obfuscation and Compiler Optimization . In 2019 IEEE Symposium on Security and Privacy (SP). 472\u2013489 . S. H. H. Ding, B. C. M. Fung, and P. Charland. 2019. Asm2Vec: Boosting Static Representation Robustness for Binary Clone Search against Code Obfuscation and Compiler Optimization. In 2019 IEEE Symposium on Security and Privacy (SP). 472\u2013489."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2020.24311"},{"key":"e_1_3_2_1_25_1","unstructured":"Eclipse Foundation Inc.. 2021. Eclipse Java development tools. https:\/\/www.eclipse.org\/jdt  Eclipse Foundation Inc.. 2021. Eclipse Java development tools. https:\/\/www.eclipse.org\/jdt"},{"key":"e_1_3_2_1_26_1","unstructured":"Eli Bendersky. 2021. pycparser. https:\/\/github.com\/eliben\/pycparser  Eli Bendersky. 2021. pycparser. https:\/\/github.com\/eliben\/pycparser"},{"key":"e_1_3_2_1_27_1","volume-title":"Structured Neural Summarization. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=H1ersoRqtm","author":"Fernandes Patrick","year":"2019","unstructured":"Patrick Fernandes , Miltiadis Allamanis , and Marc Brockschmidt . 2019 . Structured Neural Summarization. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=H1ersoRqtm Patrick Fernandes, Miltiadis Allamanis, and Marc Brockschmidt. 2019. Structured Neural Summarization. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=H1ersoRqtm"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1013203451"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-9473(01)00065-2"},{"key":"e_1_3_2_1_30_1","unstructured":"Edward M Gellenbeck and Curtis R Cook. 1991. An investigation of procedure and variable names as beacons during program comprehension. In Empirical studies of programmers: Fourth workshop. 65\u201381.  Edward M Gellenbeck and Curtis R Cook. 1991. An investigation of procedure and variable names as beacons during program comprehension. In Empirical studies of programmers: Fourth workshop. 65\u201381."},{"key":"e_1_3_2_1_31_1","unstructured":"GitHub Inc.. 2021. GitHub. https:\/\/github.com  GitHub Inc.. 2021. GitHub. https:\/\/github.com"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1154"},{"key":"e_1_3_2_1_33_1","unstructured":"Han Gao. 2021. Code for Neural Function Rename Engine. https:\/\/github.com\/USTC-TTCN\/NFRE  Han Gao. 2021. Code for Neural Function Rename Engine. https:\/\/github.com\/USTC-TTCN\/NFRE"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3243734.3243866"},{"key":"e_1_3_2_1_35_1","unstructured":"Hex-Rays SA. 2021. Hex-Rays Decompiler. https:\/\/www.hex-rays.com\/products\/decompiler  Hex-Rays SA. 2021. Hex-Rays Decompiler. https:\/\/www.hex-rays.com\/products\/decompiler"},{"key":"e_1_3_2_1_36_1","unstructured":"Hex-Rays SA. 2021. IDA Pro. https:\/\/www.hex-rays.com\/products\/ida  Hex-Rays SA. 2021. IDA Pro. https:\/\/www.hex-rays.com\/products\/ida"},{"key":"e_1_3_2_1_37_1","unstructured":"Intel Corporation. 2021. Intel Advanced Encryption Standard Instructions (AES-NI). https:\/\/software.intel.com\/content\/www\/us\/en\/develop\/articles\/intel-advanced-encryption-standard-instructions-aes-ni.html  Intel Corporation. 2021. Intel Advanced Encryption Standard Instructions (AES-NI). https:\/\/software.intel.com\/content\/www\/us\/en\/develop\/articles\/intel-advanced-encryption-standard-instructions-aes-ni.html"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/2024569.2024571"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/3106237.3121274"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/3196321.3196330"},{"key":"e_1_3_2_1_41_1","volume-title":"Proceedings of the Network and Distributed System Security Symposium, NDSS.","author":"Jiayun Xu Yingjiu Li","unstructured":"Yingjiu Li Jiayun Xu and Robert H. Deng . 2021. Differential Training: A Generic Framework to Reduce Label Noises for Android Malware Detection . In Proceedings of the Network and Distributed System Security Symposium, NDSS. Yingjiu Li Jiayun Xu and Robert H. Deng. 2021. Differential Training: A Generic Framework to Reduce Label Noises for Android Malware Detection. In Proceedings of the Network and Distributed System Security Symposium, NDSS."},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1109\/SANER.2018.8330222"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/2382577.2382579"},{"key":"e_1_3_2_1_44_1","volume-title":"Kingma and Jimmy Ba","author":"Diederik","year":"2014","unstructured":"Diederik P. Kingma and Jimmy Ba . 2014 . Adam : A Method for Stochastic Optimization . arxiv:1412.6980. Diederik P. Kingma and Jimmy Ba. 2014. Adam: A Method for Stochastic Optimization. arxiv:1412.6980."},{"key":"e_1_3_2_1_45_1","volume-title":"Kipf and Max Welling","author":"Thomas","year":"2017","unstructured":"Thomas N. Kipf and Max Welling . 2017 . Semi-Supervised Classification with Graph Convolutional Networks. In 5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24-26, 2017, Conference Track Proceedings . https:\/\/openreview.net\/forum?id=SJU4ayYgl Thomas N. Kipf and Max Welling. 2017. Semi-Supervised Classification with Graph Convolutional Networks. In 5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24-26, 2017, Conference Track Proceedings. https:\/\/openreview.net\/forum?id=SJU4ayYgl"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-4012"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1007"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-2012"},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1109\/ASE.2019.00064"},{"key":"e_1_3_2_1_50_1","volume-title":"Proceedings of the Eighteenth International Conference on Machine Learning (ICML","author":"Lafferty John D.","year":"2001","unstructured":"John D. Lafferty , Andrew McCallum , and Fernando C. N. Pereira . 2001. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data . In Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001 ), Carla E. Brodley and Andrea Pohoreckyj Danyluk (Eds.). 282\u2013289. John D. Lafferty, Andrew McCallum, and Fernando C. N. Pereira. 2001. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data. In Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Carla E. Brodley and Andrea Pohoreckyj Danyluk (Eds.). 282\u2013289."},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICSE.2019.00087"},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N19-1394"},{"key":"e_1_3_2_1_53_1","volume-title":"Proceedings of the Network and Distributed System Security Symposium, NDSS.","author":"Lee JongHyup","year":"2011","unstructured":"JongHyup Lee , Thanassis Avgerinos , and David Brumley . 2011 . TIE: Principled Reverse Engineering of Types in Binary Programs . In Proceedings of the Network and Distributed System Security Symposium, NDSS. JongHyup Lee, Thanassis Avgerinos, and David Brumley. 2011. TIE: Principled Reverse Engineering of Types in Binary Programs. In Proceedings of the Network and Distributed System Security Symposium, NDSS."},{"key":"e_1_3_2_1_54_1","unstructured":"Qimai Li Zhichao Han and Xiao ming Wu. 2018. Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning. https:\/\/www.aaai.org\/ocs\/index.php\/AAAI\/AAAI18\/paper\/view\/16098  Qimai Li Zhichao Han and Xiao ming Wu. 2018. Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning. https:\/\/www.aaai.org\/ocs\/index.php\/AAAI\/AAAI18\/paper\/view\/16098"},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1145\/3395363.3397370"},{"key":"e_1_3_2_1_56_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1166"},{"key":"e_1_3_2_1_57_1","volume-title":"Fabio Petroni, Roberto Baldoni, and Leonardo Querzoni.","author":"Massarelli Luca","year":"2019","unstructured":"Luca Massarelli , Giuseppe Antonio Di Luna , Fabio Petroni, Roberto Baldoni, and Leonardo Querzoni. 2019 . SAFE : Self-Attentive Function Embeddings for Binary Similarity. In Detection of Intrusions and Malware, and Vulnerability Assessment, Roberto Perdisci, Cl\u00e9mentine Maurice, Giorgio Giacinto, and Magnus Almgren (Eds .). 309\u2013329. isbn:978-3-030-22038-9 Luca Massarelli, Giuseppe Antonio Di Luna, Fabio Petroni, Roberto Baldoni, and Leonardo Querzoni. 2019. SAFE: Self-Attentive Function Embeddings for Binary Similarity. In Detection of Intrusions and Malware, and Vulnerability Assessment, Roberto Perdisci, Cl\u00e9mentine Maurice, Giorgio Giacinto, and Magnus Almgren (Eds.). 309\u2013329. isbn:978-3-030-22038-9"},{"key":"e_1_3_2_1_58_1","volume-title":"Efficient Estimation of Word Representations in Vector Space. In 1st International Conference on Learning Representations, ICLR, Yoshua Bengio and Yann LeCun (Eds.). arxiv:1301","author":"Mikolov Tomas","year":"2013","unstructured":"Tomas Mikolov , Kai Chen , Greg Corrado , and Jeffrey Dean . 2013 . Efficient Estimation of Word Representations in Vector Space. In 1st International Conference on Learning Representations, ICLR, Yoshua Bengio and Yann LeCun (Eds.). arxiv:1301 .3781 Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013. Efficient Estimation of Word Representations in Vector Space. In 1st International Conference on Learning Representations, ICLR, Yoshua Bengio and Yann LeCun (Eds.). arxiv:1301.3781"},{"key":"e_1_3_2_1_59_1","doi-asserted-by":"publisher","DOI":"10.1145\/219717.219748"},{"key":"e_1_3_2_1_60_1","unstructured":"Palo Alto Networks Inc.. 2021. Domain Generation Algorithm (DGA) Detection. https:\/\/docs.paloaltonetworks.com\/pan-os\/9-1\/pan-os-admin\/threat-prevention\/dns-security\/domain-generation-algorithm-detection.html  Palo Alto Networks Inc.. 2021. Domain Generation Algorithm (DGA) Detection. https:\/\/docs.paloaltonetworks.com\/pan-os\/9-1\/pan-os-admin\/threat-prevention\/dns-security\/domain-generation-algorithm-detection.html"},{"key":"e_1_3_2_1_61_1","doi-asserted-by":"publisher","DOI":"10.5555\/1953048.2078195"},{"key":"e_1_3_2_1_62_1","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623732"},{"key":"e_1_3_2_1_63_1","unstructured":"PNF Software Inc.. 2021. IDA Pro. https:\/\/www.pnfsoftware.com\/  PNF Software Inc.. 2021. IDA Pro. https:\/\/www.pnfsoftware.com\/"},{"key":"e_1_3_2_1_64_1","volume-title":"Proceedings of the LREC 2010 Workshop on New Challenges for NLP Frameworks. 45\u201350","author":"\u0158eh\u016f\u0159ek Radim","year":"2010","unstructured":"Radim \u0158eh\u016f\u0159ek and Petr Sojka . 2010 . Software Framework for Topic Modelling with Large Corpora . In Proceedings of the LREC 2010 Workshop on New Challenges for NLP Frameworks. 45\u201350 . http:\/\/is.muni.cz\/publication\/884893\/en Radim \u0158eh\u016f\u0159ek and Petr Sojka. 2010. Software Framework for Topic Modelling with Large Corpora. In Proceedings of the LREC 2010 Workshop on New Challenges for NLP Frameworks. 45\u201350. http:\/\/is.muni.cz\/publication\/884893\/en"},{"key":"e_1_3_2_1_65_1","unstructured":"Ilya Sutskever Oriol Vinyals and Quoc V Le. 2014. Sequence to Sequence Learning with Neural Networks. In Advances in Neural Information Processing Systems 27 Z. Ghahramani M. Welling C. Cortes N. D. Lawrence and K. Q. Weinberger (Eds.). 3104\u20133112. http:\/\/papers.nips.cc\/paper\/5346-sequence-to-sequence-learning-with-neural-networks.pdf  Ilya Sutskever Oriol Vinyals and Quoc V Le. 2014. Sequence to Sequence Learning with Neural Networks. In Advances in Neural Information Processing Systems 27 Z. Ghahramani M. Welling C. Cortes N. D. Lawrence and K. Q. Weinberger (Eds.). 3104\u20133112. http:\/\/papers.nips.cc\/paper\/5346-sequence-to-sequence-learning-with-neural-networks.pdf"},{"key":"e_1_3_2_1_66_1","first-page":"I","article-title":"Attention is All you Need","volume":"30","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani , Noam Shazeer , Niki Parmar , Jakob Uszkoreit , Llion Jones , Aidan N Gomez , \u0141 ukasz Kaiser, and Illia Polosukhin . 2017 . Attention is All you Need . In Advances in Neural Information Processing Systems 30 , I . Guyon, U. V. Luxburg, S. Bengio, H. Wallach, R. Fergus, S. Vishwanathan, and R. Garnett (Eds.). 5998\u20136008. http:\/\/papers.nips.cc\/paper\/7181-attention-is-all-you-need.pdf Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, \u0141 ukasz Kaiser, and Illia Polosukhin. 2017. Attention is All you Need. In Advances in Neural Information Processing Systems 30, I. Guyon, U. V. Luxburg, S. Bengio, H. Wallach, R. Fergus, S. Vishwanathan, and R. Garnett (Eds.). 5998\u20136008. http:\/\/papers.nips.cc\/paper\/7181-attention-is-all-you-need.pdf","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_67_1","volume-title":"An Observational Investigation of Reverse Engineers\u2019 Processes. In 29th USENIX Security Symposium (USENIX Security 20)","author":"Votipka Daniel","year":"1875","unstructured":"Daniel Votipka , Seth Rabin , Kristopher Micinski , Jeffrey S. Foster , and Michelle L. Mazurek . 2020 . An Observational Investigation of Reverse Engineers\u2019 Processes. In 29th USENIX Security Symposium (USENIX Security 20) . USENIX Association , 1875 \u20131892. isbn:978-1-939133-17-5 https:\/\/www.usenix.org\/conference\/usenixsecurity20\/presentation\/votipka-observational Daniel Votipka, Seth Rabin, Kristopher Micinski, Jeffrey S. Foster, and Michelle L. Mazurek. 2020. An Observational Investigation of Reverse Engineers\u2019 Processes. In 29th USENIX Security Symposium (USENIX Security 20). USENIX Association, 1875\u20131892. isbn:978-1-939133-17-5 https:\/\/www.usenix.org\/conference\/usenixsecurity20\/presentation\/votipka-observational"},{"key":"e_1_3_2_1_68_1","volume-title":"The Thirty-Fifth AAAI Conference on Artificial Intelligence.","author":"Wang Yanlin","year":"2021","unstructured":"Yanlin Wang and Hui Li . 2021 . Code Completion by Modeling Flattened Abstract Syntax Trees as Graphs . In The Thirty-Fifth AAAI Conference on Artificial Intelligence. Yanlin Wang and Hui Li. 2021. Code Completion by Modeling Flattened Abstract Syntax Trees as Graphs. In The Thirty-Fifth AAAI Conference on Artificial Intelligence."},{"key":"e_1_3_2_1_69_1","doi-asserted-by":"publisher","DOI":"10.1145\/3133956.3134018"},{"key":"e_1_3_2_1_70_1","volume-title":"No More Gotos: Decompilation Using Pattern-Independent Control-Flow Structuring and Semantic-Preserving Transformations. In 22nd Annual Network and Distributed System Security Symposium, NDSS 2015","author":"Yakdan Khaled","year":"2015","unstructured":"Khaled Yakdan , Sebastian Eschweiler , Elmar Gerhards-Padilla , and Matthew Smith . 2015 . No More Gotos: Decompilation Using Pattern-Independent Control-Flow Structuring and Semantic-Preserving Transformations. In 22nd Annual Network and Distributed System Security Symposium, NDSS 2015 , San Diego, California, USA , February 8-11, 2015. The Internet Society. Khaled Yakdan, Sebastian Eschweiler, Elmar Gerhards-Padilla, and Matthew Smith. 2015. No More Gotos: Decompilation Using Pattern-Independent Control-Flow Structuring and Semantic-Preserving Transformations. In 22nd Annual Network and Distributed System Security Symposium, NDSS 2015, San Diego, California, USA, February 8-11, 2015. The Internet Society."},{"key":"e_1_3_2_1_71_1","doi-asserted-by":"publisher","DOI":"10.5281\/zenodo.4081641"},{"key":"e_1_3_2_1_72_1","volume-title":"5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24-26, 2017, Conference Track Proceedings. OpenReview.net. https:\/\/openreview.net\/forum?id=Sy8gdB9xx","author":"Zhang Chiyuan","year":"2017","unstructured":"Chiyuan Zhang , Samy Bengio , Moritz Hardt , Benjamin Recht , and Oriol Vinyals . 2017 . Understanding deep learning requires rethinking generalization . In 5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24-26, 2017, Conference Track Proceedings. OpenReview.net. https:\/\/openreview.net\/forum?id=Sy8gdB9xx Chiyuan Zhang, Samy Bengio, Moritz Hardt, Benjamin Recht, and Oriol Vinyals. 2017. Understanding deep learning requires rethinking generalization. In 5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24-26, 2017, Conference Track Proceedings. OpenReview.net. https:\/\/openreview.net\/forum?id=Sy8gdB9xx"},{"key":"e_1_3_2_1_73_1","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/4612474"},{"key":"e_1_3_2_1_74_1","volume-title":"PairNorm: Tackling Oversmoothing in GNNs. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=rkecl1rtwB","author":"Zhao Lingxiao","year":"2020","unstructured":"Lingxiao Zhao and Leman Akoglu . 2020 . PairNorm: Tackling Oversmoothing in GNNs. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=rkecl1rtwB Lingxiao Zhao and Leman Akoglu. 2020. PairNorm: Tackling Oversmoothing in GNNs. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=rkecl1rtwB"},{"key":"e_1_3_2_1_75_1","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2019.23492"}],"event":{"name":"ISSTA '21: 30th ACM SIGSOFT International Symposium on Software Testing and Analysis","location":"Virtual Denmark","acronym":"ISSTA '21","sponsor":["SIGSOFT ACM Special Interest Group on Software Engineering"]},"container-title":["Proceedings of the 30th ACM SIGSOFT International Symposium on Software Testing and Analysis"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3460319.3464804","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3460319.3464804","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:48:31Z","timestamp":1750193311000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3460319.3464804"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,11]]},"references-count":75,"alternative-id":["10.1145\/3460319.3464804","10.1145\/3460319"],"URL":"https:\/\/doi.org\/10.1145\/3460319.3464804","relation":{},"subject":[],"published":{"date-parts":[[2021,7,11]]},"assertion":[{"value":"2021-07-11","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}