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Obfuscated Gradients Give a False Sense of Security: Circumventing
  Defenses to Adversarial Examples
v1v2v3v4 (latest)

Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples

1 February 2018
Anish Athalye
Nicholas Carlini
D. Wagner
    AAML
ArXiv (abs)PDFHTML

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
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Hridesh Rajan
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Leveraging Unlabeled Data to Track Memorization
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Mahsa Forouzesh
Hanie Sedghi
Patrick Thiran
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214
4
0
08 Dec 2022
A Systematic Literature Review On Privacy Of Deep Learning Systems
A Systematic Literature Review On Privacy Of Deep Learning Systems
Vishal Jignesh Gandhi
Sanchit Shokeen
Saloni Koshti
PILM
185
1
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07 Dec 2022
Pre-trained Encoders in Self-Supervised Learning Improve Secure and
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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
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Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial DefenseInternational Conference on Machine Learning (ICML), 2022
Bao Gia Doan
Ehsan Abbasnejad
Javen Qinfeng Shi
Damith Ranashinghe
AAMLOOD
321
8
0
05 Dec 2022
Recognizing Object by Components with Human Prior Knowledge Enhances
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Recognizing Object by Components with Human Prior Knowledge Enhances Adversarial Robustness of Deep Neural NetworksIEEE 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
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Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 DetectionAAAI Conference on Artificial Intelligence (AAAI), 2022
Kunlan Xiang
Xing Zhang
Jinwen She
Jinpeng Liu
Haohan Wang
Shiqi Deng
Shancheng Jiang
OODMedIm
211
7
0
30 Nov 2022
Ada3Diff: Defending against 3D Adversarial Point Clouds via Adaptive
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Ada3Diff: Defending against 3D Adversarial Point Clouds via Adaptive DiffusionACM 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
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Yanbo Fan
Tian Ding
Zhimin Luo
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160
26
0
27 Nov 2022
Dual Graphs of Polyhedral Decompositions for the Detection of
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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
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Shengcai Liu
Fu Peng
Jiaheng Zhang
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155
13
0
23 Nov 2022
Benchmarking Adversarially Robust Quantum Machine Learning at Scale
Benchmarking Adversarially Robust Quantum Machine Learning at ScalePhysical Review Research (Phys. Rev. Res.), 2022
Maxwell T. West
S. Erfani
C. Leckie
M. Sevior
Lloyd C. L. Hollenberg
Muhammad Usman
AAMLOOD
171
57
0
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Understanding the Vulnerability of Skeleton-based Human Activity
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Understanding the Vulnerability of Skeleton-based Human Activity Recognition via Black-box AttackPattern Recognition (Pattern Recogn.), 2022
Yunfeng Diao
He Wang
Tianjia Shao
Yong-Liang Yang
Kun Zhou
David C. Hogg
Meng Wang
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188
12
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21 Nov 2022
Boosting the Transferability of Adversarial Attacks with Global Momentum
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Boosting the Transferability of Adversarial Attacks with Global Momentum InitializationExpert 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
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
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Yunrui Yu
Xitong Gao
Chengzhong Xu
AAML
161
11
0
15 Nov 2022
Textual Manifold-based Defense Against Natural Language Adversarial
  Examples
Textual Manifold-based Defense Against Natural Language Adversarial ExamplesConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
D. M. Nguyen
Anh Tuan Luu
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273
28
0
05 Nov 2022
An Adversarial Robustness Perspective on the Topology of Neural Networks
An Adversarial Robustness Perspective on the Topology of Neural Networks
Morgane Goibert
Thomas Ricatte
Elvis Dohmatob
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179
3
0
04 Nov 2022
Adversarial Attack on Radar-based Environment Perception Systems
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
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Yujia Huang
I. D. Rodriguez
Huan Zhang
Yuanyuan Shi
Yisong Yue
396
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Private and Reliable Neural Network Inference
Private and Reliable Neural Network InferenceConference on Computer and Communications Security (CCS), 2022
Nikola Jovanović
Marc Fischer
Samuel Steffen
Martin Vechev
191
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0
27 Oct 2022
Efficient and Effective Augmentation Strategy for Adversarial Training
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Samyak Jain
R. Venkatesh Babu
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218
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0
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Adversarial Purification with the Manifold Hypothesis
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Zhaoyuan Yang
Zhiwei Xu
Jing Zhang
Leonid Sigal
Peter Tu
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409
9
0
26 Oct 2022
Accelerating Certified Robustness Training via Knowledge Transfer
Accelerating Certified Robustness Training via Knowledge TransferNeural Information Processing Systems (NeurIPS), 2022
Pratik Vaishnavi
Kevin Eykholt
Amir Rahmati
202
8
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25 Oct 2022
Towards Robust Recommender Systems via Triple Cooperative Defense
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Qingyang Wang
Defu Lian
Chenwang Wu
Enhong Chen
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134
8
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25 Oct 2022
Ares: A System-Oriented Wargame Framework for Adversarial ML
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Farhan Ahmed
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Kevin Eykholt
Amir Rahmati
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188
8
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24 Oct 2022
Revisiting Sparse Convolutional Model for Visual Recognition
Revisiting Sparse Convolutional Model for Visual RecognitionNeural Information Processing Systems (NeurIPS), 2022
Xili Dai
Mingyang Li
Pengyuan Zhai
Shengbang Tong
Xingjian Gao
Shao-Lun Huang
Zhihui Zhu
Chong You
Yi Ma
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204
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24 Oct 2022
Hindering Adversarial Attacks with Implicit Neural Representations
Hindering Adversarial Attacks with Implicit Neural RepresentationsInternational Conference on Machine Learning (ICML), 2022
Andrei A. Rusu
D. A. Calian
Sven Gowal
R. Hadsell
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350
5
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22 Oct 2022
ADDMU: Detection of Far-Boundary Adversarial Examples with Data and
  Model Uncertainty Estimation
ADDMU: Detection of Far-Boundary Adversarial Examples with Data and Model Uncertainty EstimationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Fan Yin
Yao Li
Cho-Jui Hsieh
Kai-Wei Chang
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229
4
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22 Oct 2022
Emerging Threats in Deep Learning-Based Autonomous Driving: A
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Huiyun Cao
Wenlong Zou
Yinkun Wang
Ting Song
Mengjun Liu
AAML
243
6
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19 Oct 2022
Scaling Adversarial Training to Large Perturbation Bounds
Scaling Adversarial Training to Large Perturbation BoundsEuropean Conference on Computer Vision (ECCV), 2022
Sravanti Addepalli
Samyak Jain
Gaurang Sriramanan
R. Venkatesh Babu
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313
24
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18 Oct 2022
Dynamics-aware Adversarial Attack of Adaptive Neural Networks
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An Tao
Yueqi Duan
Yingqi Wang
Jiwen Lu
Jie Zhou
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254
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Zonotope Domains for Lagrangian Neural Network Verification
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J. Hayase
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184
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When Adversarial Training Meets Vision Transformers: Recipes from
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When Adversarial Training Meets Vision Transformers: Recipes from Training to ArchitectureNeural Information Processing Systems (NeurIPS), 2022
Yi Mo
Dongxian Wu
Yifei Wang
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Yisen Wang
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272
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Visual Prompting for Adversarial Robustness
Visual Prompting for Adversarial RobustnessIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Chenyi Zi
P. Lorenz
Yuguang Yao
Pin-Yu Chen
Sijia Liu
VLMVPVLM
487
43
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Stable and Efficient Adversarial Training through Local Linearization
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Zhuorong Li
Daiwei Yu
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116
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Boosting Adversarial Robustness From The Perspective of Effective Margin
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Boosting Adversarial Robustness From The Perspective of Effective Margin RegularizationBritish Machine Vision Conference (BMVC), 2022
Ziquan Liu
Antoni B. Chan
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219
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Denoising Masked AutoEncoders Help Robust Classification
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Quanlin Wu
Hang Ye
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424
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DeepPerform: An Efficient Approach for Performance Testing of
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Simin Chen
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Symmetry Defense Against CNN Adversarial Perturbation Attacks
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Blerta Lindqvist
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310
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184
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Preprocessors Matter! Realistic Decision-Based Attacks on Machine
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Florian Tramèr
Nicholas Carlini
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282
9
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P. Bashivan
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Strength-Adaptive Adversarial Training
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Dawei Zhou
Li Shen
Jun Yu
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Biwei Huang
Nannan Wang
Tongliang Liu
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163
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Stability Analysis and Generalization Bounds of Adversarial Training
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Jiancong Xiao
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256
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