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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 / 1,929 papers shown
Title
Parallel Rectangle Flip Attack: A Query-based Black-box Attack against
  Object Detection
Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection
Siyuan Liang
Baoyuan Wu
Yanbo Fan
Xingxing Wei
Xiaochun Cao
AAML
97
73
0
22 Jan 2022
The Security of Deep Learning Defences for Medical Imaging
The Security of Deep Learning Defences for Medical Imaging
Mosh Levy
Guy Amit
Yuval Elovici
Yisroel Mirsky
AAMLMedIm
146
9
0
21 Jan 2022
Adversarial Machine Learning Threat Analysis and Remediation in Open
  Radio Access Network (O-RAN)
Adversarial Machine Learning Threat Analysis and Remediation in Open Radio Access Network (O-RAN)
Edan Habler
Ron Bitton
D. Avraham
D. Mimran
Eitan Klevansky
Oleg Brodt
Heiko Lehmann
Yuval Elovici
A. Shabtai
AAML
89
14
0
16 Jan 2022
On Adversarial Robustness of Trajectory Prediction for Autonomous
  Vehicles
On Adversarial Robustness of Trajectory Prediction for Autonomous Vehicles
Qingzhao Zhang
Shengtuo Hu
Jiachen Sun
Qi Alfred Chen
Z. Morley Mao
AAML
116
138
0
13 Jan 2022
Adversarially Robust Classification by Conditional Generative Model
  Inversion
Adversarially Robust Classification by Conditional Generative Model Inversion
Mitra Alirezaei
Tolga Tasdizen
AAML
43
0
0
12 Jan 2022
Evaluation of Neural Networks Defenses and Attacks using NDCG and
  Reciprocal Rank Metrics
Evaluation of Neural Networks Defenses and Attacks using NDCG and Reciprocal Rank Metrics
Haya Brama
L. Dery
Tal Grinshpoun
AAML
66
8
0
10 Jan 2022
GenLabel: Mixup Relabeling using Generative Models
GenLabel: Mixup Relabeling using Generative Models
Jy-yong Sohn
Liang Shang
Hongxu Chen
Jaekyun Moon
Dimitris Papailiopoulos
Kangwook Lee
VLM
93
15
0
07 Jan 2022
Efficient Global Optimization of Two-Layer ReLU Networks: Quadratic-Time Algorithms and Adversarial Training
Efficient Global Optimization of Two-Layer ReLU Networks: Quadratic-Time Algorithms and Adversarial Training
Yatong Bai
Tanmay Gautam
Somayeh Sojoudi
AAML
117
17
0
06 Jan 2022
Towards Transferable Unrestricted Adversarial Examples with Minimum
  Changes
Towards Transferable Unrestricted Adversarial Examples with Minimum Changes
Fangcheng Liu
Chaoning Zhang
Hongyang R. Zhang
AAML
88
21
0
04 Jan 2022
Towards Understanding and Harnessing the Effect of Image Transformation
  in Adversarial Detection
Towards Understanding and Harnessing the Effect of Image Transformation in Adversarial Detection
Hui Liu
Bo Zhao
Yuefeng Peng
Weidong Li
Peng Liu
AAML
92
1
0
04 Jan 2022
Rethinking Feature Uncertainty in Stochastic Neural Networks for
  Adversarial Robustness
Rethinking Feature Uncertainty in Stochastic Neural Networks for Adversarial Robustness
Hao Yang
Min Wang
Zhengfei Yu
Yun Zhou
OODAAML
59
3
0
01 Jan 2022
Improving the Behaviour of Vision Transformers with Token-consistent
  Stochastic Layers
Improving the Behaviour of Vision Transformers with Token-consistent Stochastic Layers
Nikola Popovic
D. Paudel
Thomas Probst
Luc Van Gool
88
1
0
30 Dec 2021
Repairing Adversarial Texts through Perturbation
Repairing Adversarial Texts through Perturbation
Guoliang Dong
Jingyi Wang
Jun Sun
Sudipta Chattopadhyay
Xinyu Wang
Ting Dai
Jie Shi
J. Dong
AAML
34
2
0
29 Dec 2021
Constrained Gradient Descent: A Powerful and Principled Evasion Attack
  Against Neural Networks
Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks
Weiran Lin
Keane Lucas
Lujo Bauer
Michael K. Reiter
Mahmood Sharif
AAML
65
5
0
28 Dec 2021
Associative Adversarial Learning Based on Selective Attack
Associative Adversarial Learning Based on Selective Attack
Runqi Wang
Xiaoyue Duan
Baochang Zhang
Shenjun Xue
Wentao Zhu
David Doermann
G. Guo
AAML
74
0
0
28 Dec 2021
Learning Robust and Lightweight Model through Separable Structured
  Transformations
Learning Robust and Lightweight Model through Separable Structured Transformations
Xian Wei
Yanhui Huang
Yang Xu
Mingsong Chen
Hai Lan
Yuanxiang Li
Zhongfeng Wang
Xuan Tang
OOD
59
0
0
27 Dec 2021
Adversarial Attack for Asynchronous Event-based Data
Adversarial Attack for Asynchronous Event-based Data
Wooju Lee
Hyun Myung
AAML
97
8
0
27 Dec 2021
Adaptive Modeling Against Adversarial Attacks
Adaptive Modeling Against Adversarial Attacks
Zhiwen Yan
Teck Khim Ng
AAML
41
0
0
23 Dec 2021
Revisiting and Advancing Fast Adversarial Training Through The Lens of
  Bi-Level Optimization
Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization
Yihua Zhang
Guanhua Zhang
Prashant Khanduri
Min-Fong Hong
Shiyu Chang
Sijia Liu
AAML
108
89
0
23 Dec 2021
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial
  Robustness?
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness?
Xinhsuai Dong
Anh Tuan Luu
Min Lin
Shuicheng Yan
Hanwang Zhang
SILMAAML
71
62
0
22 Dec 2021
MIA-Former: Efficient and Robust Vision Transformers via Multi-grained
  Input-Adaptation
MIA-Former: Efficient and Robust Vision Transformers via Multi-grained Input-Adaptation
Zhongzhi Yu
Y. Fu
Sicheng Li
Chaojian Li
Yingyan Lin
ViT
78
19
0
21 Dec 2021
Improving Robustness with Image Filtering
Improving Robustness with Image Filtering
M. Terzi
Mattia Carletti
Gian Antonio Susto
AAML
62
0
0
21 Dec 2021
Input-Specific Robustness Certification for Randomized Smoothing
Input-Specific Robustness Certification for Randomized Smoothing
Ruoxin Chen
Jie Li
Junchi Yan
Ping Li
Bin Sheng
AAML
156
16
0
21 Dec 2021
A Theoretical View of Linear Backpropagation and Its Convergence
A Theoretical View of Linear Backpropagation and Its Convergence
Ziang Li
Yiwen Guo
Haodi Liu
Changshui Zhang
AAML
41
4
0
21 Dec 2021
Dynamics-aware Adversarial Attack of 3D Sparse Convolution Network
An Tao
Yueqi Duan
He Wang
Ziyi Wu
Pengliang Ji
Haowen Sun
Jie Zhou
Jiwen Lu
160
1
0
17 Dec 2021
Robust Upper Bounds for Adversarial Training
Robust Upper Bounds for Adversarial Training
Dimitris Bertsimas
Xavier Boix
Kimberly Villalobos Carballo
D. Hertog
AAML
85
0
0
17 Dec 2021
All You Need is RAW: Defending Against Adversarial Attacks with Camera
  Image Pipelines
All You Need is RAW: Defending Against Adversarial Attacks with Camera Image Pipelines
Yuxuan Zhang
B. Dong
Felix Heide
AAML
61
8
0
16 Dec 2021
Deep Reinforcement Learning Policies Learn Shared Adversarial Features
  Across MDPs
Deep Reinforcement Learning Policies Learn Shared Adversarial Features Across MDPs
Ezgi Korkmaz
62
26
0
16 Dec 2021
On the Convergence and Robustness of Adversarial Training
On the Convergence and Robustness of Adversarial Training
Yisen Wang
Xingjun Ma
James Bailey
Jinfeng Yi
Bowen Zhou
Quanquan Gu
AAML
292
350
0
15 Dec 2021
Temporal Shuffling for Defending Deep Action Recognition Models against
  Adversarial Attacks
Temporal Shuffling for Defending Deep Action Recognition Models against Adversarial Attacks
Ian Ryu
Huan Zhang
Jun-Ho Choi
Cho-Jui Hsieh
Jong-Seok Lee
AAML
79
5
0
15 Dec 2021
Dual-Key Multimodal Backdoors for Visual Question Answering
Dual-Key Multimodal Backdoors for Visual Question Answering
Matthew Walmer
Karan Sikka
Indranil Sur
Abhinav Shrivastava
Susmit Jha
AAML
78
38
0
14 Dec 2021
On the Impact of Hard Adversarial Instances on Overfitting in
  Adversarial Training
On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training
Chen Liu
Zhichao Huang
Mathieu Salzmann
Tong Zhang
Sabine Süsstrunk
AAML
97
13
0
14 Dec 2021
Real-Time Neural Voice Camouflage
Real-Time Neural Voice Camouflage
Mia Chiquier
Chengzhi Mao
Carl Vondrick
85
6
0
14 Dec 2021
Triangle Attack: A Query-efficient Decision-based Adversarial Attack
Triangle Attack: A Query-efficient Decision-based Adversarial Attack
Xiaosen Wang
Zeliang Zhang
Kangheng Tong
Dihong Gong
Kun He
Zhifeng Li
Wei Liu
AAML
92
62
0
13 Dec 2021
Interpolated Joint Space Adversarial Training for Robust and
  Generalizable Defenses
Interpolated Joint Space Adversarial Training for Robust and Generalizable Defenses
Chun Pong Lau
Jiang-Long Liu
Hossein Souri
Wei-An Lin
Soheil Feizi
Ramalingam Chellappa
AAML
83
13
0
12 Dec 2021
RamBoAttack: A Robust Query Efficient Deep Neural Network Decision
  Exploit
RamBoAttack: A Robust Query Efficient Deep Neural Network Decision Exploit
Viet Vo
Ehsan Abbasnejad
Damith C. Ranasinghe
AAML
77
9
0
10 Dec 2021
Mutual Adversarial Training: Learning together is better than going
  alone
Mutual Adversarial Training: Learning together is better than going alone
Jiang-Long Liu
Chun Pong Lau
Hossein Souri
Soheil Feizi
Ramalingam Chellappa
OODAAML
76
25
0
09 Dec 2021
SoK: Anti-Facial Recognition Technology
SoK: Anti-Facial Recognition Technology
Emily Wenger
Shawn Shan
Haitao Zheng
Ben Y. Zhao
PICV
75
16
0
08 Dec 2021
Segment and Complete: Defending Object Detectors against Adversarial
  Patch Attacks with Robust Patch Detection
Segment and Complete: Defending Object Detectors against Adversarial Patch Attacks with Robust Patch Detection
Jiangjiang Liu
Alexander Levine
Chun Pong Lau
Ramalingam Chellappa
Soheil Feizi
AAML
87
78
0
08 Dec 2021
On visual self-supervision and its effect on model robustness
On visual self-supervision and its effect on model robustness
Michal Kucer
Diane Oyen
Garrett Kenyon
AAMLOOD
48
0
0
08 Dec 2021
Saliency Diversified Deep Ensemble for Robustness to Adversaries
Saliency Diversified Deep Ensemble for Robustness to Adversaries
Alexander A. Bogun
Dimche Kostadinov
Damian Borth
AAMLFedML
55
5
0
07 Dec 2021
AdaSTE: An Adaptive Straight-Through Estimator to Train Binary Neural
  Networks
AdaSTE: An Adaptive Straight-Through Estimator to Train Binary Neural Networks
Huu Le
R. Høier
Che-Tsung Lin
Christopher Zach
75
17
0
06 Dec 2021
Stochastic Local Winner-Takes-All Networks Enable Profound Adversarial
  Robustness
Stochastic Local Winner-Takes-All Networks Enable Profound Adversarial Robustness
Konstantinos P. Panousis
S. Chatzis
Sergios Theodoridis
BDLAAML
121
12
0
05 Dec 2021
Robust Active Learning: Sample-Efficient Training of Robust Deep
  Learning Models
Robust Active Learning: Sample-Efficient Training of Robust Deep Learning Models
Yuejun Guo
Qiang Hu
Maxime Cordy
Mike Papadakis
Yves Le Traon
VLMOOD
58
4
0
05 Dec 2021
Generalized Likelihood Ratio Test for Adversarially Robust Hypothesis
  Testing
Generalized Likelihood Ratio Test for Adversarially Robust Hypothesis Testing
Bhagyashree Puranik
Upamanyu Madhow
Ramtin Pedarsani
AAML
52
4
0
04 Dec 2021
On the Existence of the Adversarial Bayes Classifier (Extended Version)
On the Existence of the Adversarial Bayes Classifier (Extended Version)
Pranjal Awasthi
Natalie Frank
M. Mohri
83
25
0
03 Dec 2021
Certified Adversarial Defenses Meet Out-of-Distribution Corruptions:
  Benchmarking Robustness and Simple Baselines
Certified Adversarial Defenses Meet Out-of-Distribution Corruptions: Benchmarking Robustness and Simple Baselines
Jiachen Sun
Akshay Mehra
B. Kailkhura
Pin-Yu Chen
Dan Hendrycks
Jihun Hamm
Z. Morley Mao
AAML
79
22
0
01 Dec 2021
Adv-4-Adv: Thwarting Changing Adversarial Perturbations via Adversarial
  Domain Adaptation
Adv-4-Adv: Thwarting Changing Adversarial Perturbations via Adversarial Domain Adaptation
Tianyue Zheng
Zhe Chen
Shuya Ding
Chao Cai
Jun Luo
AAML
54
5
0
01 Dec 2021
Push Stricter to Decide Better: A Class-Conditional Feature Adaptive
  Framework for Improving Adversarial Robustness
Push Stricter to Decide Better: A Class-Conditional Feature Adaptive Framework for Improving Adversarial Robustness
Jia-Li Yin
Lehui Xie
Wanqing Zhu
Ximeng Liu
Bo-Hao Chen
TTAAAML
70
4
0
01 Dec 2021
Mitigating Adversarial Attacks by Distributing Different Copies to
  Different Users
Mitigating Adversarial Attacks by Distributing Different Copies to Different Users
Jiyi Zhang
Hansheng Fang
W. Tann
Ke Xu
Chengfang Fang
E. Chang
AAML
79
3
0
30 Nov 2021
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