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 / 1,983 papers shown
Fairify: Fairness Verification of Neural Networks
International Conference on Software Engineering (ICSE), 2022
Sumon Biswas
Hridesh Rajan
231
38
0
08 Dec 2022
Leveraging Unlabeled Data to Track Memorization
International Conference on Learning Representations (ICLR), 2022
Mahsa Forouzesh
Hanie Sedghi
Patrick Thiran
NoLa
TDI
214
4
0
08 Dec 2022
A Systematic Literature Review On Privacy Of Deep Learning Systems
Vishal Jignesh Gandhi
Sanchit Shokeen
Saloni Koshti
PILM
185
1
0
07 Dec 2022
Pre-trained Encoders in Self-Supervised Learning Improve Secure and Privacy-preserving Supervised Learning
Hongbin Liu
Wenjie Qu
Jinyuan Jia
Neil Zhenqiang Gong
SSL
163
6
0
06 Dec 2022
Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense
International Conference on Machine Learning (ICML), 2022
Bao Gia Doan
Ehsan Abbasnejad
Javen Qinfeng Shi
Damith Ranashinghe
AAML
OOD
321
8
0
05 Dec 2022
Recognizing Object by Components with Human Prior Knowledge Enhances Adversarial Robustness of Deep Neural Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Xiao-Li Li
Ziqi Wang
Bo Zhang
Gang Hua
Xiaolin Hu
225
34
0
04 Dec 2022
Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 Detection
AAAI Conference on Artificial Intelligence (AAAI), 2022
Kunlan Xiang
Xing Zhang
Jinwen She
Jinpeng Liu
Haohan Wang
Shiqi Deng
Shancheng Jiang
OOD
MedIm
211
7
0
30 Nov 2022
Ada3Diff: Defending against 3D Adversarial Point Clouds via Adaptive Diffusion
ACM Multimedia (ACM MM), 2022
Kui Zhang
Hang Zhou
Jie Zhang
Qidong Huang
Weiming Zhang
Nenghai Yu
DiffM
207
17
0
29 Nov 2022
Adversarial Rademacher Complexity of Deep Neural Networks
Jiancong Xiao
Yanbo Fan
Tian Ding
Zhimin Luo
AAML
160
26
0
27 Nov 2022
Dual Graphs of Polyhedral Decompositions for the Detection of Adversarial Attacks
Huma Jamil
Yajing Liu
Christina Cole
Nathaniel Blanchard
E. King
Michael Kirby
C. Peterson
AAML
197
2
0
23 Nov 2022
Reliable Robustness Evaluation via Automatically Constructed Attack Ensembles
AAAI Conference on Artificial Intelligence (AAAI), 2022
Shengcai Liu
Fu Peng
Jiaheng Zhang
AAML
155
13
0
23 Nov 2022
Benchmarking Adversarially Robust Quantum Machine Learning at Scale
Physical Review Research (Phys. Rev. Res.), 2022
Maxwell T. West
S. Erfani
C. Leckie
M. Sevior
Lloyd C. L. Hollenberg
Muhammad Usman
AAML
OOD
171
57
0
23 Nov 2022
Understanding the Vulnerability of Skeleton-based Human Activity Recognition via Black-box Attack
Pattern Recognition (Pattern Recogn.), 2022
Yunfeng Diao
He Wang
Tianjia Shao
Yong-Liang Yang
Kun Zhou
David C. Hogg
Meng Wang
AAML
188
12
0
21 Nov 2022
Boosting the Transferability of Adversarial Attacks with Global Momentum Initialization
Expert systems with applications (ESWA), 2022
Jiafeng Wang
Zhaoyu Chen
Kaixun Jiang
Dingkang Yang
Lingyi Hong
Pinxue Guo
Yan Wang
Wenqiang Zhang
AAML
253
53
0
21 Nov 2022
Towards Good Practices in Evaluating Transfer Adversarial Attacks
Subrat Kishore Dutta
Hanwei Zhang
Renjue Li
R. Sicre
Laurent Amsaleg
Michael Backes
AAML
347
22
0
17 Nov 2022
MORA: Improving Ensemble Robustness Evaluation with Model-Reweighing Attack
Neural Information Processing Systems (NeurIPS), 2022
Yunrui Yu
Xitong Gao
Chengzhong Xu
AAML
161
11
0
15 Nov 2022
Textual Manifold-based Defense Against Natural Language Adversarial Examples
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
D. M. Nguyen
Anh Tuan Luu
AAML
273
28
0
05 Nov 2022
An Adversarial Robustness Perspective on the Topology of Neural Networks
Morgane Goibert
Thomas Ricatte
Elvis Dohmatob
AAML
179
3
0
04 Nov 2022
Adversarial Attack on Radar-based Environment Perception Systems
Amira Guesmi
Ihsen Alouani
AAML
225
3
0
02 Nov 2022
FI-ODE: Certifiably Robust Forward Invariance in Neural ODEs
Yujia Huang
I. D. Rodriguez
Huan Zhang
Yuanyuan Shi
Yisong Yue
396
3
0
30 Oct 2022
Private and Reliable Neural Network Inference
Conference on Computer and Communications Security (CCS), 2022
Nikola Jovanović
Marc Fischer
Samuel Steffen
Martin Vechev
191
20
0
27 Oct 2022
Efficient and Effective Augmentation Strategy for Adversarial Training
Neural Information Processing Systems (NeurIPS), 2022
Sravanti Addepalli
Samyak Jain
R. Venkatesh Babu
AAML
218
70
0
27 Oct 2022
Adversarial Purification with the Manifold Hypothesis
AAAI Conference on Artificial Intelligence (AAAI), 2022
Zhaoyuan Yang
Zhiwei Xu
Jing Zhang
Leonid Sigal
Peter Tu
AAML
409
9
0
26 Oct 2022
Accelerating Certified Robustness Training via Knowledge Transfer
Neural Information Processing Systems (NeurIPS), 2022
Pratik Vaishnavi
Kevin Eykholt
Amir Rahmati
202
8
0
25 Oct 2022
Towards Robust Recommender Systems via Triple Cooperative Defense
WISE (WISE), 2022
Qingyang Wang
Defu Lian
Chenwang Wu
Enhong Chen
AAML
134
8
0
25 Oct 2022
Ares: A System-Oriented Wargame Framework for Adversarial ML
Farhan Ahmed
Pratik Vaishnavi
Kevin Eykholt
Amir Rahmati
AAML
188
8
0
24 Oct 2022
Revisiting Sparse Convolutional Model for Visual Recognition
Neural Information Processing Systems (NeurIPS), 2022
Xili Dai
Mingyang Li
Pengyuan Zhai
Shengbang Tong
Xingjian Gao
Shao-Lun Huang
Zhihui Zhu
Chong You
Yi Ma
FAtt
204
37
0
24 Oct 2022
Hindering Adversarial Attacks with Implicit Neural Representations
International Conference on Machine Learning (ICML), 2022
Andrei A. Rusu
D. A. Calian
Sven Gowal
R. Hadsell
AAML
350
5
0
22 Oct 2022
ADDMU: Detection of Far-Boundary Adversarial Examples with Data and Model Uncertainty Estimation
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Fan Yin
Yao Li
Cho-Jui Hsieh
Kai-Wei Chang
AAML
229
4
0
22 Oct 2022
Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey
Huiyun Cao
Wenlong Zou
Yinkun Wang
Ting Song
Mengjun Liu
AAML
243
6
0
19 Oct 2022
Scaling Adversarial Training to Large Perturbation Bounds
European Conference on Computer Vision (ECCV), 2022
Sravanti Addepalli
Samyak Jain
Gaurang Sriramanan
R. Venkatesh Babu
AAML
313
24
0
18 Oct 2022
Dynamics-aware Adversarial Attack of Adaptive Neural Networks
An Tao
Yueqi Duan
Yingqi Wang
Jiwen Lu
Jie Zhou
AAML
254
8
0
15 Oct 2022
Zonotope Domains for Lagrangian Neural Network Verification
Neural Information Processing Systems (NeurIPS), 2022
Matt Jordan
J. Hayase
A. Dimakis
Sewoong Oh
184
4
0
14 Oct 2022
When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture
Neural Information Processing Systems (NeurIPS), 2022
Yi Mo
Dongxian Wu
Yifei Wang
Yiwen Guo
Yisen Wang
ViT
272
79
0
14 Oct 2022
Visual Prompting for Adversarial Robustness
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Chenyi Zi
P. Lorenz
Yuguang Yao
Pin-Yu Chen
Sijia Liu
VLM
VPVLM
487
43
0
12 Oct 2022
Stable and Efficient Adversarial Training through Local Linearization
Zhuorong Li
Daiwei Yu
AAML
116
0
0
11 Oct 2022
Boosting Adversarial Robustness From The Perspective of Effective Margin Regularization
British Machine Vision Conference (BMVC), 2022
Ziquan Liu
Antoni B. Chan
AAML
219
7
0
11 Oct 2022
Denoising Masked AutoEncoders Help Robust Classification
International Conference on Learning Representations (ICLR), 2022
Quanlin Wu
Hang Ye
Yuntian Gu
Huishuai Zhang
Liwei Wang
Di He
424
25
0
10 Oct 2022
DeepPerform: An Efficient Approach for Performance Testing of Resource-Constrained Neural Networks
International Conference on Automated Software Engineering (ASE), 2022
Simin Chen
Mirazul Haque
Cong Liu
Wei Yang
221
24
0
10 Oct 2022
Symmetry Defense Against CNN Adversarial Perturbation Attacks
Information Security Conference (IS), 2022
Blerta Lindqvist
AAML
310
2
0
08 Oct 2022
Robustness of Unsupervised Representation Learning without Labels
Aleksandar Petrov
Marta Z. Kwiatkowska
OffRL
184
2
0
08 Oct 2022
Preprocessors Matter! Realistic Decision-Based Attacks on Machine Learning Systems
International Conference on Machine Learning (ICML), 2022
Chawin Sitawarin
Florian Tramèr
Nicholas Carlini
AAML
282
9
0
07 Oct 2022
Towards Out-of-Distribution Adversarial Robustness
Adam Ibrahim
Charles Guille-Escuret
Ioannis Mitliagkas
Irina Rish
David M. Krueger
P. Bashivan
OOD
230
7
0
06 Oct 2022
Strength-Adaptive Adversarial Training
Chaojian Yu
Dawei Zhou
Li Shen
Jun Yu
Bo Han
Biwei Huang
Nannan Wang
Tongliang Liu
OOD
163
5
0
04 Oct 2022
Stability Analysis and Generalization Bounds of Adversarial Training
Neural Information Processing Systems (NeurIPS), 2022
Jiancong Xiao
Yanbo Fan
Tian Ding
Jue Wang
Zhimin Luo
AAML
256
39
0
03 Oct 2022
Understanding Adversarial Robustness Against On-manifold Adversarial Examples
Pattern Recognition (Pattern Recogn.), 2022
Jiancong Xiao
Liusha Yang
Yanbo Fan
Jue Wang
Zhimin Luo
OOD
258
19
0
02 Oct 2022
Learning Robust Kernel Ensembles with Kernel Average Pooling
P. Bashivan
Adam Ibrahim
Amirozhan Dehghani
Yifei Ren
OOD
337
7
0
30 Sep 2022
Your Out-of-Distribution Detection Method is Not Robust!
Neural Information Processing Systems (NeurIPS), 2022
Mohammad Azizmalayeri
Arshia Soltani Moakhar
Arman Zarei
Reihaneh Zohrabi
M. T. Manzuri
M. Rohban
OODD
310
23
0
30 Sep 2022
Generalizability of Adversarial Robustness Under Distribution Shifts
Kumail Alhamoud
Hasan Hammoud
Motasem Alfarra
Guohao Li
OOD
337
12
0
29 Sep 2022
A Survey on Physical Adversarial Attack in Computer Vision
Donghua Wang
Wen Yao
Tingsong Jiang
Guijian Tang
Xiaoqian Chen
AAML
485
49
0
28 Sep 2022
Previous
1
2
3
...
10
11
12
...
38
39
40
Next
Page 11 of 40
Page
of 40
Go