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On Adaptive Attacks to Adversarial Example Defenses

On Adaptive Attacks to Adversarial Example Defenses

19 February 2020
Florian Tramèr
Nicholas Carlini
Wieland Brendel
A. Madry
    AAML
ArXivPDFHTML

Papers citing "On Adaptive Attacks to Adversarial Example Defenses"

50 / 540 papers shown
Title
Adversarial Vulnerability of Randomized Ensembles
Adversarial Vulnerability of Randomized Ensembles
Hassan Dbouk
Naresh R Shanbhag
AAML
8
6
0
14 Jun 2022
Early Transferability of Adversarial Examples in Deep Neural Networks
Early Transferability of Adversarial Examples in Deep Neural Networks
Oriel BenShmuel
AAML
12
0
0
09 Jun 2022
Meet You Halfway: Explaining Deep Learning Mysteries
Meet You Halfway: Explaining Deep Learning Mysteries
Oriel BenShmuel
AAML
FedML
FAtt
OOD
14
0
0
09 Jun 2022
Wavelet Regularization Benefits Adversarial Training
Wavelet Regularization Benefits Adversarial Training
Jun Yan
Huilin Yin
Xiaoyang Deng
Zi-qin Zhao
Wancheng Ge
Hao Zhang
Gerhard Rigoll
AAML
11
2
0
08 Jun 2022
Towards Understanding and Mitigating Audio Adversarial Examples for
  Speaker Recognition
Towards Understanding and Mitigating Audio Adversarial Examples for Speaker Recognition
Guangke Chen
Zhe Zhao
Fu Song
Sen Chen
Lingling Fan
Feng Wang
Jiashui Wang
AAML
17
36
0
07 Jun 2022
Building Robust Ensembles via Margin Boosting
Building Robust Ensembles via Margin Boosting
Dinghuai Zhang
Hongyang R. Zhang
Aaron Courville
Yoshua Bengio
Pradeep Ravikumar
A. Suggala
AAML
UQCV
27
15
0
07 Jun 2022
Towards Evading the Limits of Randomized Smoothing: A Theoretical
  Analysis
Towards Evading the Limits of Randomized Smoothing: A Theoretical Analysis
Raphael Ettedgui
Alexandre Araujo
Rafael Pinot
Y. Chevaleyre
Jamal Atif
AAML
19
3
0
03 Jun 2022
Adaptive Adversarial Training to Improve Adversarial Robustness of DNNs
  for Medical Image Segmentation and Detection
Adaptive Adversarial Training to Improve Adversarial Robustness of DNNs for Medical Image Segmentation and Detection
Linhai Ma
Liang Liang
OOD
11
6
0
02 Jun 2022
Exact Feature Collisions in Neural Networks
Exact Feature Collisions in Neural Networks
Utku Ozbulak
Manvel Gasparyan
Shodhan Rao
W. D. Neve
Arnout Van Messem
AAML
14
1
0
31 May 2022
BagFlip: A Certified Defense against Data Poisoning
BagFlip: A Certified Defense against Data Poisoning
Yuhao Zhang
Aws Albarghouthi
Loris Dántoni
AAML
23
23
0
26 May 2022
On Collective Robustness of Bagging Against Data Poisoning
On Collective Robustness of Bagging Against Data Poisoning
Ruoxin Chen
Zenan Li
Jie Li
Chentao Wu
Junchi Yan
48
23
0
26 May 2022
EBM Life Cycle: MCMC Strategies for Synthesis, Defense, and Density
  Modeling
EBM Life Cycle: MCMC Strategies for Synthesis, Defense, and Density Modeling
Mitch Hill
Jonathan Mitchell
Chu Chen
Yuan Du
M. Shah
Song-Chun Zhu
10
0
0
24 May 2022
Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box
  Score-Based Query Attacks
Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks
Sizhe Chen
Zhehao Huang
Qinghua Tao
Yingwen Wu
Cihang Xie
X. Huang
AAML
106
28
0
24 May 2022
Alleviating Robust Overfitting of Adversarial Training With Consistency
  Regularization
Alleviating Robust Overfitting of Adversarial Training With Consistency Regularization
Shudong Zhang
Haichang Gao
Tianwei Zhang
Yunyi Zhou
Zihui Wu
AAML
16
3
0
24 May 2022
Post-breach Recovery: Protection against White-box Adversarial Examples
  for Leaked DNN Models
Post-breach Recovery: Protection against White-box Adversarial Examples for Leaked DNN Models
Shawn Shan
Wen-Luan Ding
Emily Wenger
Haitao Zheng
Ben Y. Zhao
AAML
25
10
0
21 May 2022
On Trace of PGD-Like Adversarial Attacks
On Trace of PGD-Like Adversarial Attacks
Mo Zhou
Vishal M. Patel
AAML
22
4
0
19 May 2022
Diffusion Models for Adversarial Purification
Diffusion Models for Adversarial Purification
Weili Nie
Brandon Guo
Yujia Huang
Chaowei Xiao
Arash Vahdat
Anima Anandkumar
WIGM
195
415
0
16 May 2022
Subverting Fair Image Search with Generative Adversarial Perturbations
Subverting Fair Image Search with Generative Adversarial Perturbations
A. Ghosh
Matthew Jagielski
Chris L. Wilson
14
7
0
05 May 2022
Backdooring Explainable Machine Learning
Backdooring Explainable Machine Learning
Maximilian Noppel
Lukas Peter
Christian Wressnegger
AAML
14
5
0
20 Apr 2022
Measuring the False Sense of Security
Measuring the False Sense of Security
Carlos Gomes
AAML
8
0
0
10 Apr 2022
"That Is a Suspicious Reaction!": Interpreting Logits Variation to
  Detect NLP Adversarial Attacks
"That Is a Suspicious Reaction!": Interpreting Logits Variation to Detect NLP Adversarial Attacks
Edoardo Mosca
Shreyash Agarwal
Javier Rando
Georg Groh
AAML
17
30
0
10 Apr 2022
Defense against Adversarial Attacks on Hybrid Speech Recognition using
  Joint Adversarial Fine-tuning with Denoiser
Defense against Adversarial Attacks on Hybrid Speech Recognition using Joint Adversarial Fine-tuning with Denoiser
Sonal Joshi
Saurabh Kataria
Yiwen Shao
Piotr Żelasko
Jesus Villalba
Sanjeev Khudanpur
Najim Dehak
AAML
17
4
0
08 Apr 2022
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization
  Perspective
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective
Yimeng Zhang
Yuguang Yao
Jinghan Jia
Jinfeng Yi
Min-Fong Hong
Shiyu Chang
Sijia Liu
AAML
13
33
0
27 Mar 2022
Reverse Engineering of Imperceptible Adversarial Image Perturbations
Reverse Engineering of Imperceptible Adversarial Image Perturbations
Yifan Gong
Yuguang Yao
Yize Li
Yimeng Zhang
Xiaoming Liu
X. Lin
Sijia Liu
AAML
24
20
0
26 Mar 2022
Alleviating Adversarial Attacks on Variational Autoencoders with MCMC
Alleviating Adversarial Attacks on Variational Autoencoders with MCMC
Anna Kuzina
Max Welling
Jakub M. Tomczak
AAML
DRL
22
12
0
18 Mar 2022
On the Properties of Adversarially-Trained CNNs
On the Properties of Adversarially-Trained CNNs
Mattia Carletti
M. Terzi
Gian Antonio Susto
AAML
16
1
0
17 Mar 2022
On the Convergence of Certified Robust Training with Interval Bound
  Propagation
On the Convergence of Certified Robust Training with Interval Bound Propagation
Yihan Wang
Zhouxing Shi
Quanquan Gu
Cho-Jui Hsieh
12
9
0
16 Mar 2022
Towards Practical Certifiable Patch Defense with Vision Transformer
Towards Practical Certifiable Patch Defense with Vision Transformer
Zhaoyu Chen
Bo-wen Li
Jianghe Xu
Shuang Wu
Shouhong Ding
Wenqiang Zhang
AAML
ViT
26
66
0
16 Mar 2022
Attacks as Defenses: Designing Robust Audio CAPTCHAs Using Attacks on
  Automatic Speech Recognition Systems
Attacks as Defenses: Designing Robust Audio CAPTCHAs Using Attacks on Automatic Speech Recognition Systems
H. Abdullah
Aditya Karlekar
S. Prasad
Muhammad Sajidur Rahman
Logan Blue
L. A. Bauer
Vincent Bindschaedler
Patrick Traynor
AAML
13
3
0
10 Mar 2022
SoK: On the Semantic AI Security in Autonomous Driving
SoK: On the Semantic AI Security in Autonomous Driving
Junjie Shen
Ningfei Wang
Ziwen Wan
Yunpeng Luo
Takami Sato
...
Zhenyu Zhong
Kang Li
Ziming Zhao
Chunming Qiao
Qi Alfred Chen
AAML
13
39
0
10 Mar 2022
Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack
Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack
Ye Liu
Yaya Cheng
Lianli Gao
Xianglong Liu
Qilong Zhang
Jingkuan Song
AAML
27
56
0
10 Mar 2022
Defending Black-box Skeleton-based Human Activity Classifiers
Defending Black-box Skeleton-based Human Activity Classifiers
He-Nan Wang
Yunfeng Diao
Zichang Tan
G. Guo
AAML
43
10
0
09 Mar 2022
aaeCAPTCHA: The Design and Implementation of Audio Adversarial CAPTCHA
aaeCAPTCHA: The Design and Implementation of Audio Adversarial CAPTCHA
Md. Imran Hossen
X. Hei
15
4
0
05 Mar 2022
Sparsity-Inducing Categorical Prior Improves Robustness of the
  Information Bottleneck
Sparsity-Inducing Categorical Prior Improves Robustness of the Information Bottleneck
Anirban Samaddar
Sandeep Madireddy
Prasanna Balaprakash
Tapabrata Maiti
Gustavo de los Campos
Ian Fischer
6
1
0
04 Mar 2022
Enhancing Adversarial Robustness for Deep Metric Learning
Enhancing Adversarial Robustness for Deep Metric Learning
Mo Zhou
Vishal M. Patel
AAML
14
18
0
02 Mar 2022
Global-Local Regularization Via Distributional Robustness
Global-Local Regularization Via Distributional Robustness
Hoang Phan
Trung Le
Trung-Nghia Phung
Tu Bui
Nhat Ho
Dinh Q. Phung
OOD
9
12
0
01 Mar 2022
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses
Francesco Croce
Sven Gowal
T. Brunner
Evan Shelhamer
Matthias Hein
A. Cemgil
TTA
AAML
173
67
0
28 Feb 2022
A Unified Wasserstein Distributional Robustness Framework for
  Adversarial Training
A Unified Wasserstein Distributional Robustness Framework for Adversarial Training
Tu Bui
Trung Le
Quan Hung Tran
He Zhao
Dinh Q. Phung
AAML
OOD
18
42
0
27 Feb 2022
LPF-Defense: 3D Adversarial Defense based on Frequency Analysis
LPF-Defense: 3D Adversarial Defense based on Frequency Analysis
Hanieh Naderi
Kimia Noorbakhsh
Arian Etemadi
S. Kasaei
AAML
11
12
0
23 Feb 2022
Privacy Leakage of Adversarial Training Models in Federated Learning
  Systems
Privacy Leakage of Adversarial Training Models in Federated Learning Systems
Jingyang Zhang
Yiran Chen
Hai Helen Li
FedML
PICV
19
15
0
21 Feb 2022
Mitigating Closed-model Adversarial Examples with Bayesian Neural
  Modeling for Enhanced End-to-End Speech Recognition
Mitigating Closed-model Adversarial Examples with Bayesian Neural Modeling for Enhanced End-to-End Speech Recognition
Chao-Han Huck Yang
Zeeshan Ahmed
Yile Gu
Joseph Szurley
Roger Ren
Linda Liu
A. Stolcke
I. Bulyko
AAML
11
3
0
17 Feb 2022
Holistic Adversarial Robustness of Deep Learning Models
Holistic Adversarial Robustness of Deep Learning Models
Pin-Yu Chen
Sijia Liu
AAML
29
16
0
15 Feb 2022
Beyond NaN: Resiliency of Optimization Layers in The Face of
  Infeasibility
Beyond NaN: Resiliency of Optimization Layers in The Face of Infeasibility
Wai Tuck Wong
Andrew Butler
Ramesha Karunasena
T. Nguyen
Arunesh Sinha
AAML
19
0
0
13 Feb 2022
On the Detection of Adaptive Adversarial Attacks in Speaker Verification
  Systems
On the Detection of Adaptive Adversarial Attacks in Speaker Verification Systems
Zesheng Chen
AAML
11
8
0
11 Feb 2022
ObjectSeeker: Certifiably Robust Object Detection against Patch Hiding
  Attacks via Patch-agnostic Masking
ObjectSeeker: Certifiably Robust Object Detection against Patch Hiding Attacks via Patch-agnostic Masking
Chong Xiang
Alexander Valtchanov
Saeed Mahloujifar
Prateek Mittal
AAML
6
21
0
03 Feb 2022
Boundary Defense Against Black-box Adversarial Attacks
Boundary Defense Against Black-box Adversarial Attacks
Manjushree B. Aithal
Xiaohua Li
AAML
15
6
0
31 Jan 2022
TPC: Transformation-Specific Smoothing for Point Cloud Models
TPC: Transformation-Specific Smoothing for Point Cloud Models
Wen-Hsuan Chu
Linyi Li
Bo-wen Li
3DPC
26
13
0
30 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
AAML
MedIm
33
9
0
21 Jan 2022
Towards Adversarially Robust Deep Image Denoising
Towards Adversarially Robust Deep Image Denoising
Hanshu Yan
Jingfeng Zhang
Jiashi Feng
Masashi Sugiyama
Vincent Y. F. Tan
DiffM
15
16
0
12 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
16
18
0
04 Jan 2022
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