Non-Negative Networks Against Adversarial Attacks

Non-Negative Networks Against Adversarial Attacks

15 June 2018

William Fleshman

Jared Sylvester

Papers citing "Non-Negative Networks Against Adversarial Attacks"

10 / 10 papers shown

Title
A Survey on Malware Detection with Graph Representation Learning Tristan Bilot Nour El Madhoun Khaldoun Al Agha Anis Zouaoui AAML 13 20 0 28 Mar 2023
RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion Zhuoqun Huang Neil G. Marchant Keane Lucas Lujo Bauer O. Ohrimenko Benjamin I. P. Rubinstein AAML 24 14 0 31 Jan 2023
Multi-view Representation Learning from Malware to Defend Against Adversarial Variants J. Hu Mohammadreza Ebrahimi Weifeng Li Xin Li Hsinchun Chen AAML 11 2 0 25 Oct 2022
Provably Tightest Linear Approximation for Robustness Verification of Sigmoid-like Neural Networks Zhaodi Zhang Yiting Wu Siwen Liu Jing Liu Min Zhang AAML 23 11 0 21 Aug 2022
Single-Shot Black-Box Adversarial Attacks Against Malware Detectors: A Causal Language Model Approach J. Hu Mohammadreza Ebrahimi Hsinchun Chen AAML 14 11 0 03 Dec 2021
Are We Ready For Learned Cardinality Estimation? Xiaoying Wang Changbo Qu Weiyuan Wu Jiannan Wang Qingqing Zhou 34 113 0 12 Dec 2020
A Survey of Machine Learning Methods and Challenges for Windows Malware Classification Edward Raff Charles K. Nicholas AAML 24 54 0 15 Jun 2020
Malware Makeover: Breaking ML-based Static Analysis by Modifying Executable Bytes Keane Lucas Mahmood Sharif Lujo Bauer Michael K. Reiter S. Shintre AAML 31 64 0 19 Dec 2019
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 261 3,109 0 04 Nov 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 281 5,835 0 08 Jul 2016