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1806.06108
Cited By
Non-Negative Networks Against Adversarial Attacks
15 June 2018
William Fleshman
Edward Raff
Jared Sylvester
Steven Forsyth
Mark McLean
AAML
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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
22
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
21
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
29
113
0
12 Dec 2020
A Survey of Machine Learning Methods and Challenges for Windows Malware Classification
Edward Raff
Charles K. Nicholas
AAML
19
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
26
64
0
19 Dec 2019
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
258
3,109
0
04 Nov 2016
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
275
5,833
0
08 Jul 2016
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