Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1802.00420
Cited By
v1
v2
v3
v4 (latest)
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
1 February 2018
Anish Athalye
Nicholas Carlini
D. Wagner
AAML
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples"
50 / 1,986 papers shown
Stateful Defenses for Machine Learning Models Are Not Yet Secure Against Black-box Attacks
Conference on Computer and Communications Security (CCS), 2023
Ryan Feng
Ashish Hooda
Neal Mangaokar
Kassem Fawaz
S. Jha
Atul Prakash
AAML
312
15
0
11 Mar 2023
Do we need entire training data for adversarial training?
Vipul Gupta
Apurva Narayan
AAML
241
2
0
10 Mar 2023
Efficient Certified Training and Robustness Verification of Neural ODEs
International Conference on Learning Representations (ICLR), 2023
Mustafa Zeqiri
Mark Niklas Muller
Marc Fischer
Martin Vechev
AAML
294
4
0
09 Mar 2023
Immune Defense: A Novel Adversarial Defense Mechanism for Preventing the Generation of Adversarial Examples
Jinwei Wang
Hao Wu
Haihua Wang
Jiawei Zhang
X. Luo
Bin Ma
AAML
184
1
0
08 Mar 2023
Robustness-preserving Lifelong Learning via Dataset Condensation
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Jinghan Jia
Yihua Zhang
Dogyoon Song
Sijia Liu
Alfred Hero
DD
168
5
0
07 Mar 2023
Consistent Valid Physically-Realizable Adversarial Attack against Crowd-flow Prediction Models
Hassan Ali
M. A. Butt
F. Filali
Ala I. Al-Fuqaha
Junaid Qadir
AAML
172
3
0
05 Mar 2023
Improved Robustness Against Adaptive Attacks With Ensembles and Error-Correcting Output Codes
Thomas Philippon
Christian Gagné
AAML
192
1
0
04 Mar 2023
The Double-Edged Sword of Implicit Bias: Generalization vs. Robustness in ReLU Networks
Neural Information Processing Systems (NeurIPS), 2023
Spencer Frei
Gal Vardi
Peter L. Bartlett
Nathan Srebro
233
22
0
02 Mar 2023
Adversarial Examples Exist in Two-Layer ReLU Networks for Low Dimensional Linear Subspaces
Neural Information Processing Systems (NeurIPS), 2023
Odelia Melamed
Gilad Yehudai
Gal Vardi
GAN
267
7
0
01 Mar 2023
To Make Yourself Invisible with Adversarial Semantic Contours
Computer Vision and Image Understanding (CVIU), 2023
Yichi Zhang
Zijian Zhu
Hang Su
Jun Zhu
Shibao Zheng
Yuan He
H. Xue
AAML
168
6
0
01 Mar 2023
A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking
International Journal of Computer Vision (IJCV), 2023
Yu Xie
Yinpeng Dong
Wenzhao Xiang
Xiaohu Yang
Hang Su
Junyi Zhu
YueFeng Chen
Yuan He
H. Xue
Shibao Zheng
OOD
VLM
AAML
390
134
0
28 Feb 2023
Randomness in ML Defenses Helps Persistent Attackers and Hinders Evaluators
Keane Lucas
Matthew Jagielski
Florian Tramèr
Lujo Bauer
Nicholas Carlini
AAML
283
10
0
27 Feb 2023
Less is More: Data Pruning for Faster Adversarial Training
Yize Li
Pu Zhao
Xinyu Lin
B. Kailkhura
Ryan Goldh
AAML
347
14
0
23 Feb 2023
PAD: Towards Principled Adversarial Malware Detection Against Evasion Attacks
IEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2023
Deqiang Li
Shicheng Cui
Yun Li
Jia Xu
Fu Xiao
Shouhuai Xu
AAML
414
31
0
22 Feb 2023
MalProtect: Stateful Defense Against Adversarial Query Attacks in ML-based Malware Detection
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023
Aqib Rashid
Jose Such
AAML
437
20
0
21 Feb 2023
Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples
International Conference on Learning Representations (ICLR), 2023
Qizhang Li
Yiwen Guo
W. Zuo
Hao Chen
AAML
565
43
0
10 Feb 2023
Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset Selection
Neural Information Processing Systems (NeurIPS), 2023
Xilie Xu
Jingfeng Zhang
Yifan Zhang
Masashi Sugiyama
Mohan S. Kankanhalli
AAML
617
23
0
08 Feb 2023
A Minimax Approach Against Multi-Armed Adversarial Attacks Detection
Federica Granese
Marco Romanelli
S. Garg
Pablo Piantanida
AAML
217
0
0
04 Feb 2023
Asymmetric Certified Robustness via Feature-Convex Neural Networks
Neural Information Processing Systems (NeurIPS), 2023
Samuel Pfrommer
Brendon G. Anderson
Julien Piet
Somayeh Sojoudi
AAML
253
9
0
03 Feb 2023
On the Robustness of Randomized Ensembles to Adversarial Perturbations
International Conference on Machine Learning (ICML), 2023
Hassan Dbouk
Naresh R Shanbhag
AAML
373
8
0
02 Feb 2023
Effectiveness of Moving Target Defenses for Adversarial Attacks in ML-based Malware Detection
IEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2023
Aqib Rashid
Jose Such
AAML
199
5
0
01 Feb 2023
CertViT: Certified Robustness of Pre-Trained Vision Transformers
K. Gupta
S. Verma
ViT
128
7
0
01 Feb 2023
Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression
International Conference on Machine Learning (ICML), 2023
Zhuoran Liu
Subrat Kishore Dutta
Martha Larson
353
51
0
31 Jan 2023
Are Defenses for Graph Neural Networks Robust?
Neural Information Processing Systems (NeurIPS), 2023
Felix Mujkanovic
Simon Geisler
Stephan Günnemann
Aleksandar Bojchevski
OOD
AAML
231
69
0
31 Jan 2023
Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks
International Conference on Learning Representations (ICLR), 2023
Zhiyuan Cheng
James Liang
Guanhong Tao
Dongfang Liu
Xiangyu Zhang
284
35
0
31 Jan 2023
RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion
Neural Information Processing Systems (NeurIPS), 2023
Zhuoqun Huang
Neil G. Marchant
Keane Lucas
Lujo Bauer
O. Ohrimenko
Benjamin I. P. Rubinstein
AAML
452
20
0
31 Jan 2023
Language-Driven Anchors for Zero-Shot Adversarial Robustness
Computer Vision and Pattern Recognition (CVPR), 2023
Xiao-Li Li
Wei Emma Zhang
Yining Liu
Zhan Hu
Bo Zhang
Xiaolin Hu
355
22
0
30 Jan 2023
Improving Adversarial Transferability with Scheduled Step Size and Dual Example
Zeliang Zhang
Peihan Liu
Xiaosen Wang
Chenliang Xu
AAML
263
4
0
30 Jan 2023
Feature-Space Bayesian Adversarial Learning Improved Malware Detector Robustness
AAAI Conference on Artificial Intelligence (AAAI), 2023
Bao Gia Doan
Shuiqiao Yang
Paul Montague
O. Vel
Tamas Abraham
S. Çamtepe
S. Kanhere
Ehsan Abbasnejad
Damith C. Ranasinghe
OOD
AAML
253
10
0
30 Jan 2023
Improving the Accuracy-Robustness Trade-Off of Classifiers via Adaptive Smoothing
SIAM Journal on Mathematics of Data Science (SIMODS), 2023
Yatong Bai
Brendon G. Anderson
Aerin Kim
Somayeh Sojoudi
AAML
449
22
0
29 Jan 2023
A Study on FGSM Adversarial Training for Neural Retrieval
European Conference on Information Retrieval (ECIR), 2023
Simon Lupart
Stéphane Clinchant
AAML
312
12
0
25 Jan 2023
A Data-Centric Approach for Improving Adversarial Training Through the Lens of Out-of-Distribution Detection
International Computer Society of Iran Computer Conference (CSIC), 2023
Mohammad Azizmalayeri
Arman Zarei
Alireza Isavand
M. T. Manzuri
M. Rohban
OODD
199
0
0
25 Jan 2023
Explainability and Robustness of Deep Visual Classification Models
Jindong Gu
AAML
304
2
0
03 Jan 2023
Guidance Through Surrogate: Towards a Generic Diagnostic Attack
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Muzammal Naseer
Salman Khan
Fatih Porikli
Fahad Shahbaz Khan
AAML
193
1
0
30 Dec 2022
Provable Robust Saliency-based Explanations
Chao Chen
Chenghua Guo
Guixiang Ma
Ming Zeng
Xi Zhang
Sihong Xie
AAML
FAtt
460
1
0
28 Dec 2022
Differentiable Search of Accurate and Robust Architectures
Yuwei Ou
Xiangning Xie
Shan Gao
Yanan Sun
Kay Chen Tan
Jiancheng Lv
OOD
AAML
277
2
0
28 Dec 2022
Frequency Regularization for Improving Adversarial Robustness
Binxiao Huang
Chaofan Tao
R. Lin
Ngai Wong
AAML
157
5
0
24 Dec 2022
Out-of-Distribution Detection with Reconstruction Error and Typicality-based Penalty
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Genki Osada
Tsubasa Takahashi
Budrul Ahsan
Takashi Nishide
OODD
290
17
0
24 Dec 2022
A Comprehensive Study of the Robustness for LiDAR-based 3D Object Detectors against Adversarial Attacks
International Journal of Computer Vision (IJCV), 2022
Yifan Zhang
Xianqiang Lyu
Yixuan Yuan
AAML
3DPC
393
47
0
20 Dec 2022
TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization
International Conference on Learning Representations (ICLR), 2022
Bairu Hou
Jinghan Jia
Yihua Zhang
Guanhua Zhang
Yang Zhang
Sijia Liu
Shiyu Chang
SILM
AAML
206
27
0
19 Dec 2022
On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization
AAAI Conference on Artificial Intelligence (AAAI), 2022
Shiji Xin
Yifei Wang
Jingtong Su
Yisen Wang
OOD
271
13
0
18 Dec 2022
Confidence-aware Training of Smoothed Classifiers for Certified Robustness
AAAI Conference on Artificial Intelligence (AAAI), 2022
Jongheon Jeong
Seojin Kim
Jinwoo Shin
AAML
433
10
0
18 Dec 2022
Robust Explanation Constraints for Neural Networks
International Conference on Learning Representations (ICLR), 2022
Matthew Wicker
Juyeon Heo
Luca Costabello
Adrian Weller
FAtt
254
24
0
16 Dec 2022
Adversarial Example Defense via Perturbation Grading Strategy
International Forum on Digital TV and Wireless Multimedia Communication (DTWMC), 2022
Shaowei Zhu
Wanli Lyu
Bin Li
Z. Yin
Bin Luo
AAML
161
1
0
16 Dec 2022
On Evaluating Adversarial Robustness of Chest X-ray Classification: Pitfalls and Best Practices
Salah Ghamizi
Maxime Cordy
Michail Papadakis
Yves Le Traon
OOD
174
4
0
15 Dec 2022
Alternating Objectives Generates Stronger PGD-Based Adversarial Attacks
Nikolaos Antoniou
Efthymios Georgiou
Alexandros Potamianos
AAML
232
5
0
15 Dec 2022
Understanding Zero-Shot Adversarial Robustness for Large-Scale Models
International Conference on Learning Representations (ICLR), 2022
Chengzhi Mao
Scott Geng
Junfeng Yang
Xin Eric Wang
Carl Vondrick
VLM
333
128
0
14 Dec 2022
Adversarially Robust Video Perception by Seeing Motion
Lingyu Zhang
Chengzhi Mao
Junfeng Yang
Carl Vondrick
VGen
AAML
240
3
0
13 Dec 2022
Robust Perception through Equivariance
International Conference on Machine Learning (ICML), 2022
Chengzhi Mao
Lingyu Zhang
Abhishek Joshi
Junfeng Yang
Hongya Wang
Carl Vondrick
BDL
AAML
345
10
0
12 Dec 2022
REAP: A Large-Scale Realistic Adversarial Patch Benchmark
IEEE International Conference on Computer Vision (ICCV), 2022
Nabeel Hingun
Chawin Sitawarin
Jerry Li
David Wagner
AAML
379
29
0
12 Dec 2022
Previous
1
2
3
...
9
10
11
...
38
39
40
Next
Page 10 of 40
Page
of 40
Go
