Backdoors in Neural Models of Source Code

11 June 2020

Papers citing "Backdoors in Neural Models of Source Code"

8 / 8 papers shown

Title
Show Me Your Code! Kill Code Poisoning: A Lightweight Method Based on Code Naturalness Weisong Sun Yuchen Chen Mengzhe Yuan Chunrong Fang Zhenpeng Chen Chong Wang Yang Liu Baowen Xu Zhenyu Chen AAML 53 1 0 20 Feb 2025
Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers Giorgio Severi J. Meyer Scott E. Coull Alina Oprea AAML SILM 34 18 0 02 Mar 2020
Semantic Robustness of Models of Source Code Goutham Ramakrishnan Jordan Henkel Zi Wang Aws Albarghouthi S. Jha Thomas W. Reps SILM AAML 64 97 0 07 Feb 2020
On Evaluating Adversarial Robustness Nicholas Carlini Anish Athalye Nicolas Papernot Wieland Brendel Jonas Rauber Dimitris Tsipras Ian Goodfellow Aleksander Madry Alexey Kurakin ELM AAML 58 894 0 18 Feb 2019
Sever: A Robust Meta-Algorithm for Stochastic Optimization Ilias Diakonikolas Gautam Kamath D. Kane Jerry Li Jacob Steinhardt Alistair Stewart 44 289 0 07 Mar 2018
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning Xinyun Chen Chang-rui Liu Yue Liu Kimberly Lu D. Song AAML SILM 73 1,822 0 15 Dec 2017
A Survey of Machine Learning for Big Code and Naturalness Miltiadis Allamanis Earl T. Barr Premkumar T. Devanbu Charles Sutton 92 846 0 18 Sep 2017
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 140 14,831 1 21 Dec 2013