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2102.12002
Cited By
Adversarial Robustness with Non-uniform Perturbations
24 February 2021
Ece Naz Erdemir
Jeffrey Bickford
Luca Melis
Sergul Aydore
AAML
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Papers citing
"Adversarial Robustness with Non-uniform Perturbations"
14 / 14 papers shown
Title
Living off the Analyst: Harvesting Features from Yara Rules for Malware Detection
Siddhant Gupta
Fred Lu
Andrew Barlow
Edward Raff
Francis Ferraro
Cynthia Matuszek
Charles K. Nicholas
James Holt
73
0
0
27 Nov 2024
Investigating Imperceptibility of Adversarial Attacks on Tabular Data: An Empirical Analysis
Zhipeng He
Chun Ouyang
Laith Alzubaidi
Alistair Barros
Catarina Moreira
AAML
30
0
0
16 Jul 2024
Bayesian Learned Models Can Detect Adversarial Malware For Free
Bao Gia Doan
Dang Quang Nguyen
Paul Montague
Tamas Abraham
O. Vel
S. Çamtepe
S. Kanhere
Ehsan Abbasnejad
D. Ranasinghe
AAML
38
1
0
27 Mar 2024
Towards Independence Criterion in Machine Unlearning of Features and Labels
Ling Han
Nanqing Luo
Hao Huang
Jing Chen
Mary-Anne Hartley
MU
24
4
0
12 Mar 2024
Verification of Neural Networks' Global Robustness
Anan Kabaha
Dana Drachsler-Cohen
AAML
OOD
35
5
0
29 Feb 2024
Projected Randomized Smoothing for Certified Adversarial Robustness
Samuel Pfrommer
Brendon G. Anderson
Somayeh Sojoudi
AAML
21
16
0
25 Sep 2023
Feature-Space Bayesian Adversarial Learning Improved Malware Detector Robustness
Bao Gia Doan
Shuiqiao Yang
Paul Montague
O. Vel
Tamas Abraham
S. Çamtepe
S. Kanhere
Ehsan Abbasnejad
D. Ranasinghe
OOD
AAML
31
6
0
30 Jan 2023
Towards Generating Adversarial Examples on Mixed-type Data
Han Xu
Menghai Pan
Zhimeng Jiang
Huiyuan Chen
Xiaoting Li
Mahashweta Das
Hao Yang
AAML
SILM
8
0
0
17 Oct 2022
An Overview and Prospective Outlook on Robust Training and Certification of Machine Learning Models
Brendon G. Anderson
Tanmay Gautam
Somayeh Sojoudi
OOD
13
2
0
15 Aug 2022
Firenze: Model Evaluation Using Weak Signals
Bhavna Soman
A. Torkamani
Michael J. Morais
Jeffrey Bickford
Baris Coskun
30
2
0
02 Jul 2022
Adversarial Attack and Defense for Non-Parametric Two-Sample Tests
Xilie Xu
Jingfeng Zhang
Feng Liu
Masashi Sugiyama
Mohan S. Kankanhalli
AAML
22
1
0
07 Feb 2022
A Unified Framework for Adversarial Attack and Defense in Constrained Feature Space
Thibault Simonetto
Salijona Dyrmishi
Salah Ghamizi
Maxime Cordy
Yves Le Traon
AAML
19
21
0
02 Dec 2021
Feature Importance Guided Attack: A Model Agnostic Adversarial Attack
Gilad Gressel
Niranjan Hegde
A. Sreekumar
Rishikumar Radhakrishnan
Kalyani Harikumar
Michael C. Darling
Krishnashree Achuthan
AAML
61
16
0
28 Jun 2021
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
261
3,109
0
04 Nov 2016
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