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1802.00420
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Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
1 February 2018
Anish Athalye
Nicholas Carlini
D. Wagner
AAML
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Papers citing
"Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples"
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167
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Dogyoon Song
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Alfred Hero
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147
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Consistent Valid Physically-Realizable Adversarial Attack against Crowd-flow Prediction Models
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M. A. Butt
F. Filali
Ala I. Al-Fuqaha
Junaid Qadir
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160
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Christian Gagné
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125
1
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The Double-Edged Sword of Implicit Bias: Generalization vs. Robustness in ReLU Networks
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Gal Vardi
Peter L. Bartlett
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212
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Gilad Yehudai
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220
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Yichi Zhang
Zijian Zhu
Hang Su
Jun Zhu
Shibao Zheng
Yuan He
H. Xue
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146
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A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking
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Yinpeng Dong
Wenzhao Xiang
Xiaohu Yang
Hang Su
Junyi Zhu
YueFeng Chen
Yuan He
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Shibao Zheng
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333
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207
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Pu Zhao
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303
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Shicheng Cui
Yun Li
Jia Xu
Fu Xiao
Shouhuai Xu
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297
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Aqib Rashid
Jose Such
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407
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Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples
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Yiwen Guo
W. Zuo
Hao Chen
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526
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Jingfeng Zhang
Yifan Zhang
Masashi Sugiyama
Mohan S. Kankanhalli
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524
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185
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Julien Piet
Somayeh Sojoudi
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238
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Naresh R Shanbhag
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346
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Effectiveness of Moving Target Defenses for Adversarial Attacks in ML-based Malware Detection
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Aqib Rashid
Jose Such
AAML
173
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S. Verma
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123
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Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression
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Zhuoran Liu
Subrat Kishore Dutta
Martha Larson
302
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Felix Mujkanovic
Simon Geisler
Stephan Günnemann
Aleksandar Bojchevski
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205
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Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks
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Zhiyuan Cheng
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Guanhong Tao
Dongfang Liu
Xiangyu Zhang
262
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RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion
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Neil G. Marchant
Keane Lucas
Lujo Bauer
O. Ohrimenko
Benjamin I. P. Rubinstein
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402
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Language-Driven Anchors for Zero-Shot Adversarial Robustness
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Xiao-Li Li
Wei Emma Zhang
Yining Liu
Zhan Hu
Bo Zhang
Xiaolin Hu
273
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Peihan Liu
Xiaosen Wang
Chenliang Xu
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202
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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
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236
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Yatong Bai
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Aerin Kim
Somayeh Sojoudi
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423
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A Study on FGSM Adversarial Training for Neural Retrieval
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244
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Arman Zarei
Alireza Isavand
M. T. Manzuri
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186
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0
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Explainability and Robustness of Deep Visual Classification Models
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AAML
280
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Guidance Through Surrogate: Towards a Generic Diagnostic Attack
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Salman Khan
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Fahad Shahbaz Khan
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179
1
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Provable Robust Saliency-based Explanations
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Guixiang Ma
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Sihong Xie
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427
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Differentiable Search of Accurate and Robust Architectures
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Xiangning Xie
Shan Gao
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Kay Chen Tan
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OOD
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224
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Frequency Regularization for Improving Adversarial Robustness
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Chaofan Tao
R. Lin
Ngai Wong
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142
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Out-of-Distribution Detection with Reconstruction Error and Typicality-based Penalty
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Genki Osada
Tsubasa Takahashi
Budrul Ahsan
Takashi Nishide
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267
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TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization
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Jinghan Jia
Yihua Zhang
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192
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Yisen Wang
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151
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161
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