Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1511.04599
Cited By
v1
v2
v3 (latest)
DeepFool: a simple and accurate method to fool deep neural networks
14 November 2015
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
P. Frossard
AAML
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"DeepFool: a simple and accurate method to fool deep neural networks"
50 / 2,353 papers shown
MALT Powers Up Adversarial Attacks
Odelia Melamed
Gilad Yehudai
Adi Shamir
AAML
269
0
0
02 Jul 2024
Deceptive Diffusion: Generating Synthetic Adversarial Examples
Lucas Beerens
Catherine F. Higham
D. Higham
WIGM
DiffM
245
2
0
28 Jun 2024
Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers
Jonas Ngnawé
Sabyasachi Sahoo
Y. Pequignot
Frédéric Precioso
Christian Gagné
AAML
338
3
0
26 Jun 2024
Artificial Immune System of Secure Face Recognition Against Adversarial Attacks
Min Ren
Yunlong Wang
Yuhao Zhu
Yongzhen Huang
Zhenan Sun
Qi Li
Tieniu Tan
318
6
0
26 Jun 2024
Diffusion-based Adversarial Purification for Intrusion Detection
Mohamed Amine Merzouk
Erwan Beurier
Reda Yaich
Nora Boulahia-Cuppens
Frédéric Cuppens
AAML
319
0
0
25 Jun 2024
Federated Adversarial Learning for Robust Autonomous Landing Runway Detection
Yi Li
Plamen Angelov
Zhengxin Yu
Alvaro Lopez Pellicer
Neeraj Suri
201
4
0
22 Jun 2024
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors
Peter Lorenz
Mario Fernandez
Jens Müller
Ullrich Kothe
AAML
627
1
0
21 Jun 2024
Enhancing robustness of data-driven SHM models: adversarial training with circle loss
Xiangli Yang
Xijie Deng
Hanwei Zhang
Yang Zou
Jianxi Yang
AAML
179
1
0
20 Jun 2024
Obfuscating IoT Device Scanning Activity via Adversarial Example Generation
Haocong Li
Yaxin Zhang
Long Cheng
Wenjia Niu
Haining Wang
Qiang Li
AAML
172
0
0
17 Jun 2024
Imperceptible Face Forgery Attack via Adversarial Semantic Mask
Decheng Liu
Qixuan Su
Chunlei Peng
Nannan Wang
Xinbo Gao
AAML
207
1
0
16 Jun 2024
RMF: A Risk Measurement Framework for Machine Learning Models
ARES (ARES), 2024
Jan Schröder
Jakub Breier
136
1
0
15 Jun 2024
Over-parameterization and Adversarial Robustness in Neural Networks: An Overview and Empirical Analysis
Zhang Chen
Christian Scano
Srishti Gupta
Xiaoyi Feng
Zhaoqiang Xia
...
Maura Pintor
Luca Oneto
Ambra Demontis
Battista Biggio
Fabio Roli
AAML
341
2
0
14 Jun 2024
MirrorCheck: Efficient Adversarial Defense for Vision-Language Models
Samar Fares
Klea Ziu
Toluwani Aremu
Nikita Durasov
Martin Takáč
Pascal Fua
Karthik Nandakumar
Ivan Laptev
VLM
AAML
236
9
0
13 Jun 2024
Texture Re-scalable Universal Adversarial Perturbation
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2024
Yihao Huang
Qing Guo
Felix Juefei-Xu
Ming Hu
Yang Liu
Simeng Qin
Geguang Pu
Yang Liu
AAML
327
11
0
10 Jun 2024
Self-supervised Adversarial Training of Monocular Depth Estimation against Physical-World Attacks
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Zhiyuan Cheng
Cheng Han
James Liang
Qifan Wang
Xiangyu Zhang
Dongfang Liu
AAML
216
10
0
09 Jun 2024
One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models
Hao Fang
Jiawei Kong
Wenbo Yu
Bin Chen
Jiawei Li
Hao Wu
Ke Xu
Ke Xu
AAML
VLM
424
28
0
08 Jun 2024
ZeroPur: Succinct Training-Free Adversarial Purification
Xiuli Bi
Zonglin Yang
Bo Liu
Xiaodong Cun
Chi-Man Pun
533
1
0
05 Jun 2024
SVASTIN: Sparse Video Adversarial Attack via Spatio-Temporal Invertible Neural Networks
Yi Pan
Jun-Jie Huang
Zihan Chen
Wentao Zhao
Ziyue Wang
196
5
0
04 Jun 2024
Constraint-based Adversarial Example Synthesis
Fang Yu
Ya-Yu Chi
Yu-Fang Chen
AAML
223
2
0
03 Jun 2024
HOLMES: to Detect Adversarial Examples with Multiple Detectors
Jing Wen
AAML
252
1
0
30 May 2024
Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning
Dipam Goswami
Albin Soutif--Cormerais
Yuyang Liu
Sandesh Kamath
Bartlomiej Twardowski
Joost van de Weijer
AAML
302
31
0
29 May 2024
OSLO: One-Shot Label-Only Membership Inference Attacks
Yuefeng Peng
Jaechul Roh
Subhransu Maji
Amir Houmansadr
265
8
0
27 May 2024
PUMA: margin-based data pruning
Javier Maroto
Pascal Frossard
AAML
245
1
0
10 May 2024
UnsafeBench: Benchmarking Image Safety Classifiers on Real-World and AI-Generated Images
Y. Qu
Xinyue Shen
Yixin Wu
Michael Backes
Savvas Zannettou
Yang Zhang
EGVM
441
38
0
06 May 2024
Tree-based Ensemble Learning for Out-of-distribution Detection
Zhaiming Shen
Menglun Wang
Guang Cheng
Ming-Jun Lai
Lin Mu
Ruihao Huang
Qi Liu
Hao Zhu
OODD
160
1
0
05 May 2024
Assessing Adversarial Robustness of Large Language Models: An Empirical Study
Zeyu Yang
Zhao Meng
Xiaochen Zheng
Roger Wattenhofer
ELM
AAML
163
21
0
04 May 2024
Revisiting the Adversarial Robustness of Vision Language Models: a Multimodal Perspective
Wanqi Zhou
Shuanghao Bai
Qibin Zhao
Badong Chen
VLM
AAML
305
21
0
30 Apr 2024
AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples
Antonio Emanuele Cinà
Jérôme Rony
Maura Pintor
Christian Scano
Ambra Demontis
Battista Biggio
Ismail Ben Ayed
Fabio Roli
ELM
AAML
SILM
494
17
0
30 Apr 2024
MISLEAD: Manipulating Importance of Selected features for Learning Epsilon in Evasion Attack Deception
Vidit Khazanchi
Pavan Kulkarni
Yuvaraj Govindarajulu
Manojkumar Somabhai Parmar
AAML
249
1
0
24 Apr 2024
AED-PADA:Improving Generalizability of Adversarial Example Detection via Principal Adversarial Domain Adaptation
Heqi Peng
Yun-an Wang
Ruijie Yang
Beichen Li
Rui Wang
Yuanfang Guo
AAML
196
2
0
19 Apr 2024
Counteracting Concept Drift by Learning with Future Malware Predictions
B. Bosanský
Lada Hospodkova
Michal Najman
M. Rigaki
E. Babayeva
Viliam Lisý
AAML
133
2
0
14 Apr 2024
A Survey of Neural Network Robustness Assessment in Image Recognition
Jie Wang
Jun Ai
Minyan Lu
Haoran Su
Dan Yu
Yutao Zhang
Junda Zhu
Jingyu Liu
AAML
308
4
0
12 Apr 2024
David and Goliath: An Empirical Evaluation of Attacks and Defenses for QNNs at the Deep Edge
Miguel Costa
Sandro Pinto
AAML
265
1
0
08 Apr 2024
Out-of-Distribution Data: An Acquaintance of Adversarial Examples -- A Survey
Naveen Karunanayake
Ravin Gunawardena
Suranga Seneviratne
Sanjay Chawla
OOD
310
14
0
08 Apr 2024
Goal-guided Generative Prompt Injection Attack on Large Language Models
Kai Wei
Haoyang Ling
Qinkai Yu
Chengzhi Liu
Haochen Xue
Xiaobo Jin
AAML
SILM
293
27
0
06 Apr 2024
Meta Invariance Defense Towards Generalizable Robustness to Unknown Adversarial Attacks
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Lei Zhang
Yuhang Zhou
Yi Yang
Xinbo Gao
AAML
OOD
196
11
0
04 Apr 2024
BCAmirs at SemEval-2024 Task 4: Beyond Words: A Multimodal and Multilingual Exploration of Persuasion in Memes
International Workshop on Semantic Evaluation (SemEval), 2024
Amirhossein Abaskohi
AmirHossein Dabiri Aghdam
Lele Wang
Giuseppe Carenini
228
1
0
03 Apr 2024
Defense without Forgetting: Continual Adversarial Defense with Anisotropic & Isotropic Pseudo Replay
Computer Vision and Pattern Recognition (CVPR), 2024
Yuhang Zhou
Zhongyun Hua
AAML
CLL
268
6
0
02 Apr 2024
Jailbreaking Prompt Attack: A Controllable Adversarial Attack against Diffusion Models
North American Chapter of the Association for Computational Linguistics (NAACL), 2024
Jiachen Ma
Anda Cao
Zhiqing Xiao
Jie Zhang
Chaonan Ye
Chao Ye
Junbo Zhao
629
59
0
02 Apr 2024
Machine Learning Robustness: A Primer
Houssem Ben Braiek
Foutse Khomh
AAML
OOD
468
21
0
01 Apr 2024
Imperceptible Protection against Style Imitation from Diffusion Models
Namhyuk Ahn
Wonhyuk Ahn
Kiyoon Yoo
Daesik Kim
Seung-Hun Nam
WIGM
AAML
DiffM
388
10
0
28 Mar 2024
Robust optimization for adversarial learning with finite sample complexity guarantees
IEEE Conference on Decision and Control (CDC), 2024
André Bertolace
Konstatinos Gatsis
Kostas Margellos
AAML
164
1
0
22 Mar 2024
Adversarial Attacks and Defenses in Fault Detection and Diagnosis: A Comprehensive Benchmark on the Tennessee Eastman Process
Vitaliy Pozdnyakov
Aleksandr Kovalenko
Ilya Makarov
Mikhail Drobyshevskiy
Kirill Lukyanov
AAML
283
13
0
20 Mar 2024
DD-RobustBench: An Adversarial Robustness Benchmark for Dataset Distillation
Yifan Wu
Jiawei Du
Ping Liu
Yuewei Lin
Wenqing Cheng
Wei Xu
DD
AAML
312
7
0
20 Mar 2024
Impart: An Imperceptible and Effective Label-Specific Backdoor Attack
Jingke Zhao
Zan Wang
Yongwei Wang
Lanjun Wang
AAML
78
0
0
18 Mar 2024
Robust Overfitting Does Matter: Test-Time Adversarial Purification With FGSM
Computer Vision and Pattern Recognition (CVPR), 2024
Linyu Tang
Lei Zhang
AAML
174
12
0
18 Mar 2024
Defense Against Adversarial Attacks on No-Reference Image Quality Models with Gradient Norm Regularization
Computer Vision and Pattern Recognition (CVPR), 2024
Yujia Liu
Chenxi Yang
Dingquan Li
Jianhao Ding
Tingting Jiang
252
12
0
18 Mar 2024
Benchmarking Zero-Shot Robustness of Multimodal Foundation Models: A Pilot Study
Chenguang Wang
Ruoxi Jia
Xin Liu
Dawn Song
VLM
203
10
0
15 Mar 2024
Towards Non-Adversarial Algorithmic Recourse
Tobias Leemann
Martin Pawelczyk
Bardh Prenkaj
Gjergji Kasneci
AAML
268
3
0
15 Mar 2024
Approximate Nullspace Augmented Finetuning for Robust Vision Transformers
Haoyang Liu
Aditya Singh
Yijiang Li
Haohan Wang
AAML
ViT
345
1
0
15 Mar 2024
Previous
1
2
3
4
5
6
...
46
47
48
Next
