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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
URET: Universal Robustness Evaluation Toolkit (for Evasion)
URET: Universal Robustness Evaluation Toolkit (for Evasion)USENIX Security Symposium (USENIX Security), 2023
Kevin Eykholt
Taesung Lee
D. Schales
Jiyong Jang
Ian Molloy
Masha Zorin
AAML
268
8
0
03 Aug 2023
Training on Foveated Images Improves Robustness to Adversarial Attacks
Training on Foveated Images Improves Robustness to Adversarial AttacksNeural Information Processing Systems (NeurIPS), 2023
Muhammad Ahmed Shah
Bhiksha Raj
AAML
200
6
0
01 Aug 2023
Improving Generalization of Adversarial Training via Robust Critical
  Fine-Tuning
Improving Generalization of Adversarial Training via Robust Critical Fine-TuningIEEE International Conference on Computer Vision (ICCV), 2023
Lingyao Li
Yongfeng Zhang
Xixu Hu
Xingxu Xie
G. Yang
AAML
171
35
0
01 Aug 2023
Doubly Robust Instance-Reweighted Adversarial Training
Doubly Robust Instance-Reweighted Adversarial TrainingInternational Conference on Learning Representations (ICLR), 2023
Daouda Sow
Sen-Fon Lin
Zinan Lin
Yitao Liang
AAMLOOD
320
2
0
01 Aug 2023
R-LPIPS: An Adversarially Robust Perceptual Similarity Metric
R-LPIPS: An Adversarially Robust Perceptual Similarity Metric
Sara Ghazanfari
S. Garg
Prashanth Krishnamurthy
Farshad Khorrami
Alexandre Araujo
271
37
0
27 Jul 2023
Defending Adversarial Patches via Joint Region Localizing and Inpainting
Defending Adversarial Patches via Joint Region Localizing and Inpainting
Junwen Chen
Xingxing Wei
AAML
141
5
0
26 Jul 2023
A LLM Assisted Exploitation of AI-Guardian
A LLM Assisted Exploitation of AI-Guardian
Nicholas Carlini
ELMSILM
143
21
0
20 Jul 2023
On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization
On the Fly Neural Style Smoothing for Risk-Averse Domain GeneralizationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Akshay Mehra
Yunbei Zhang
B. Kailkhura
Jihun Hamm
306
3
0
17 Jul 2023
Alleviating the Effect of Data Imbalance on Adversarial Training
Alleviating the Effect of Data Imbalance on Adversarial Training
Guanlin Li
Guowen Xu
Tianwei Zhang
250
3
0
14 Jul 2023
Vulnerability-Aware Instance Reweighting For Adversarial Training
Vulnerability-Aware Instance Reweighting For Adversarial Training
Olukorede Fakorede
Ashutosh Nirala
Modeste Atsague
Jin Tian
AAML
171
2
0
14 Jul 2023
Differential Analysis of Triggers and Benign Features for Black-Box DNN
  Backdoor Detection
Differential Analysis of Triggers and Benign Features for Black-Box DNN Backdoor DetectionIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023
Hao Fu
Prashanth Krishnamurthy
S. Garg
Farshad Khorrami
AAML
199
15
0
11 Jul 2023
Enhancing Adversarial Robustness via Score-Based Optimization
Enhancing Adversarial Robustness via Score-Based OptimizationNeural Information Processing Systems (NeurIPS), 2023
Boya Zhang
Weijian Luo
Zhihua Zhang
DiffM
344
19
0
10 Jul 2023
Robust Ranking Explanations
Robust Ranking Explanations
Chao Chen
Chenghua Guo
Guixiang Ma
Ming Zeng
Xi Zhang
Sihong Xie
FAttAAML
368
0
0
08 Jul 2023
Post-train Black-box Defense via Bayesian Boundary Correction
Post-train Black-box Defense via Bayesian Boundary Correction
He Wang
Yunfeng Diao
AAML
364
1
0
29 Jun 2023
Group-based Robustness: A General Framework for Customized Robustness in
  the Real World
Group-based Robustness: A General Framework for Customized Robustness in the Real WorldNetwork and Distributed System Security Symposium (NDSS), 2023
Weiran Lin
Keane Lucas
Neo Eyal
Lujo Bauer
Michael K. Reiter
Mahmood Sharif
OODAAML
284
1
0
29 Jun 2023
Mitigating Accuracy-Robustness Trade-off via Balanced Multi-Teacher
  Adversarial Distillation
Mitigating Accuracy-Robustness Trade-off via Balanced Multi-Teacher Adversarial DistillationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Shiji Zhao
Xizhe Wang
Xingxing Wei
AAML
307
15
0
28 Jun 2023
Cooperation or Competition: Avoiding Player Domination for Multi-Target
  Robustness via Adaptive Budgets
Cooperation or Competition: Avoiding Player Domination for Multi-Target Robustness via Adaptive BudgetsComputer Vision and Pattern Recognition (CVPR), 2023
Yimu Wang
Dinghuai Zhang
Yihan Wu
Heng Huang
Hongyang R. Zhang
AAML
161
1
0
27 Jun 2023
Robust Proxy: Improving Adversarial Robustness by Robust Proxy Learning
Robust Proxy: Improving Adversarial Robustness by Robust Proxy LearningIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023
Hong Joo Lee
Yonghyun Ro
AAML
164
4
0
27 Jun 2023
Advancing Adversarial Training by Injecting Booster Signal
Advancing Adversarial Training by Injecting Booster SignalIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Hong Joo Lee
Youngjoon Yu
Yonghyun Ro
AAML
288
4
0
27 Jun 2023
DSRM: Boost Textual Adversarial Training with Distribution Shift Risk
  Minimization
DSRM: Boost Textual Adversarial Training with Distribution Shift Risk MinimizationAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Songyang Gao
Jiajun Sun
Yan Liu
Xiao Wang
Qi Zhang
Zhongyu Wei
Jin Ma
Yingchun Shan
OOD
188
9
0
27 Jun 2023
The race to robustness: exploiting fragile models for urban camouflage
  and the imperative for machine learning security
The race to robustness: exploiting fragile models for urban camouflage and the imperative for machine learning security
Harriet Farlow
Matthew A. Garratt
G. Mount
T. Lynar
AAML
142
1
0
26 Jun 2023
Computational Asymmetries in Robust Classification
Computational Asymmetries in Robust ClassificationInternational Conference on Machine Learning (ICML), 2023
Samuele Marro
M. Lombardi
AAML
153
2
0
25 Jun 2023
Enhancing Adversarial Training via Reweighting Optimization Trajectory
Enhancing Adversarial Training via Reweighting Optimization Trajectory
Tianjin Huang
Shiwei Liu
Tianlong Chen
Meng Fang
Lijuan Shen
Vlaod Menkovski
Lu Yin
Yulong Pei
Mykola Pechenizkiy
AAML
265
5
0
25 Jun 2023
A Spectral Perspective towards Understanding and Improving Adversarial
  Robustness
A Spectral Perspective towards Understanding and Improving Adversarial Robustness
Binxiao Huang
Rui Lin
Chaofan Tao
Ngai Wong
AAML
136
0
0
25 Jun 2023
On Evaluating the Adversarial Robustness of Semantic Segmentation Models
On Evaluating the Adversarial Robustness of Semantic Segmentation Models
L. Halmosi
Márk Jelasity
AAMLVLM
273
2
0
25 Jun 2023
Visual Adversarial Examples Jailbreak Aligned Large Language Models
Visual Adversarial Examples Jailbreak Aligned Large Language ModelsAAAI Conference on Artificial Intelligence (AAAI), 2023
Xiangyu Qi
Kaixuan Huang
Ashwinee Panda
Peter Henderson
Mengdi Wang
Prateek Mittal
AAML
287
269
0
22 Jun 2023
Towards Reliable Evaluation and Fast Training of Robust Semantic
  Segmentation Models
Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation ModelsEuropean Conference on Computer Vision (ECCV), 2023
Francesco Croce
Naman D. Singh
Matthias Hein
VLM
211
12
0
22 Jun 2023
Towards quantum enhanced adversarial robustness in machine learning
Towards quantum enhanced adversarial robustness in machine learningNature Machine Intelligence (Nat. Mach. Intell.), 2023
Maxwell T. West
S. Tsang
J. S. Low
C. Hill
C. Leckie
Lloyd C. L. Hollenberg
S. Erfani
Muhammad Usman
AAMLOOD
211
71
0
22 Jun 2023
Towards Better Certified Segmentation via Diffusion Models
Towards Better Certified Segmentation via Diffusion ModelsConference on Uncertainty in Artificial Intelligence (UAI), 2023
Othmane Laousy
Alexandre Araujo
G. Chassagnon
M. Revel
S. Garg
Farshad Khorrami
Maria Vakalopoulou
DiffM
257
3
0
16 Jun 2023
DIFFender: Diffusion-Based Adversarial Defense against Patch Attacks
DIFFender: Diffusion-Based Adversarial Defense against Patch AttacksEuropean Conference on Computer Vision (ECCV), 2023
Cai Kang
Yinpeng Dong
Zhengyi Wang
Shouwei Ruan
Yubo Chen
Hang Su
Xingxing Wei
AAMLDiffM
289
20
0
15 Jun 2023
Robustness of SAM: Segment Anything Under Corruptions and Beyond
Robustness of SAM: Segment Anything Under Corruptions and Beyond
Yu Qiao
Chaoning Zhang
Taegoo Kang
Donghun Kim
Chenshuang Zhang
Choong Seon Hong
AAML
202
37
0
13 Jun 2023
Revisiting and Advancing Adversarial Training Through A Simple Baseline
Revisiting and Advancing Adversarial Training Through A Simple Baseline
Hong Liu
AAML
242
0
0
13 Jun 2023
On Achieving Optimal Adversarial Test Error
On Achieving Optimal Adversarial Test ErrorInternational Conference on Learning Representations (ICLR), 2023
Justin D. Li
Matus Telgarsky
AAML
278
3
0
13 Jun 2023
AROID: Improving Adversarial Robustness through Online Instance-wise
  Data Augmentation
AROID: Improving Adversarial Robustness through Online Instance-wise Data AugmentationInternational Journal of Computer Vision (IJCV), 2023
Lin Li
Jianing Qiu
Michael W. Spratling
AAML
154
8
0
12 Jun 2023
Boosting Adversarial Robustness using Feature Level Stochastic Smoothing
Boosting Adversarial Robustness using Feature Level Stochastic Smoothing
Sravanti Addepalli
Samyak Jain
Gaurang Sriramanan
R. Venkatesh Babu
AAML
124
6
0
10 Jun 2023
SoK: Adversarial Evasion Attacks Practicality in NIDS Domain and the Impact of Dynamic Learning
SoK: Adversarial Evasion Attacks Practicality in NIDS Domain and the Impact of Dynamic Learning
Mohamed el Shehaby
Ashraf Matrawy
AAML
406
8
0
08 Jun 2023
From Robustness to Explainability and Back Again
From Robustness to Explainability and Back Again
Xuanxiang Huang
Sasha Rubin
280
12
0
05 Jun 2023
Evaluating robustness of support vector machines with the Lagrangian
  dual approach
Evaluating robustness of support vector machines with the Lagrangian dual approach
Yuting Liu
Hong Gu
Pan Qin
AAML
222
6
0
05 Jun 2023
Adversary for Social Good: Leveraging Adversarial Attacks to Protect
  Personal Attribute Privacy
Adversary for Social Good: Leveraging Adversarial Attacks to Protect Personal Attribute PrivacyACM Transactions on Knowledge Discovery from Data (TKDD), 2023
Xiaoting Li
Ling-Hao Chen
Dinghao Wu
AAMLSILM
165
9
0
04 Jun 2023
Improving Adversarial Robustness of DEQs with Explicit Regulations Along
  the Neural Dynamics
Improving Adversarial Robustness of DEQs with Explicit Regulations Along the Neural DynamicsInternational Conference on Machine Learning (ICML), 2023
Zonghan Yang
Peng Li
Tianyu Pang
Yang Liu
AAML
184
3
0
02 Jun 2023
A Closer Look at the Adversarial Robustness of Deep Equilibrium Models
A Closer Look at the Adversarial Robustness of Deep Equilibrium ModelsNeural Information Processing Systems (NeurIPS), 2023
Zonghan Yang
Tianyu Pang
Yang Liu
AAML
195
16
0
02 Jun 2023
Adaptive Attractors: A Defense Strategy against ML Adversarial Collusion
  Attacks
Adaptive Attractors: A Defense Strategy against ML Adversarial Collusion Attacks
Jiyi Zhang
Hansheng Fang
E. Chang
AAML
191
0
0
02 Jun 2023
Adversarial Attack Based on Prediction-Correction
Adversarial Attack Based on Prediction-Correction
Chen Wan
Fangjun Huang
AAML
121
7
0
02 Jun 2023
On the Importance of Backbone to the Adversarial Robustness of Object Detectors
On the Importance of Backbone to the Adversarial Robustness of Object DetectorsIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023
Xiao-Li Li
Hang Chen
Xiaolin Hu
AAML
368
10
0
27 May 2023
Robust Classification via a Single Diffusion Model
Robust Classification via a Single Diffusion ModelInternational Conference on Machine Learning (ICML), 2023
Huanran Chen
Yinpeng Dong
Zhengyi Wang
Xiaohu Yang
Chen-Dong Duan
Hang Su
Jun Zhu
359
81
0
24 May 2023
The Best Defense is a Good Offense: Adversarial Augmentation against
  Adversarial Attacks
The Best Defense is a Good Offense: Adversarial Augmentation against Adversarial AttacksComputer Vision and Pattern Recognition (CVPR), 2023
I. Frosio
Jan Kautz
AAML
282
24
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23 May 2023
Expressive Losses for Verified Robustness via Convex Combinations
Expressive Losses for Verified Robustness via Convex CombinationsInternational Conference on Learning Representations (ICLR), 2023
Alessandro De Palma
Rudy Bunel
Krishnamurthy Dvijotham
M. P. Kumar
Robert Stanforth
A. Lomuscio
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366
25
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23 May 2023
Decoupled Kullback-Leibler Divergence Loss
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Jiequan Cui
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Bei Yu
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271
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Enhancing Accuracy and Robustness through Adversarial Training in Class
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Minchan Kwon
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100
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Adversarial Defenses via Vector Quantization
Adversarial Defenses via Vector QuantizationNeurocomputing (Neurocomputing), 2023
Zhiyi Dong
Yongyi Mao
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166
1
0
23 May 2023
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