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Explaining and Harnessing Adversarial Examples
v1v2v3 (latest)

Explaining and Harnessing Adversarial Examples

20 December 2014
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
    AAMLGAN
ArXiv (abs)PDFHTML

Papers citing "Explaining and Harnessing Adversarial Examples"

50 / 8,356 papers shown
Title
On the Robustness of ChatGPT: An Adversarial and Out-of-distribution
  Perspective
On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective
Jindong Wang
Xixu Hu
Wenxin Hou
Hao Chen
Runkai Zheng
...
Weirong Ye
Xiubo Geng
Binxing Jiao
Yue Zhang
Xingxu Xie
AI4MH
170
241
0
22 Feb 2023
What Are Effective Labels for Augmented Data? Improving Calibration and
  Robustness with AutoLabel
What Are Effective Labels for Augmented Data? Improving Calibration and Robustness with AutoLabel
Yao Qin
Xuezhi Wang
Balaji Lakshminarayanan
Ed H. Chi
Alex Beutel
UQCV
69
5
0
22 Feb 2023
Framework for Certification of AI-Based Systems
Framework for Certification of AI-Based Systems
Maxime Gariel
Brian Shimanuki
R. Timpe
E. Wilson
50
8
0
21 Feb 2023
Some Fundamental Aspects about Lipschitz Continuity of Neural Networks
Some Fundamental Aspects about Lipschitz Continuity of Neural Networks
Grigory Khromov
Sidak Pal Singh
155
8
0
21 Feb 2023
MalProtect: Stateful Defense Against Adversarial Query Attacks in
  ML-based Malware Detection
MalProtect: Stateful Defense Against Adversarial Query Attacks in ML-based Malware Detection
Aqib Rashid
Jose Such
AAML
98
10
0
21 Feb 2023
Characterizing the Optimal 0-1 Loss for Multi-class Classification with
  a Test-time Attacker
Characterizing the Optimal 0-1 Loss for Multi-class Classification with a Test-time Attacker
Sihui Dai
Wen-Luan Ding
A. Bhagoji
Daniel Cullina
Ben Y. Zhao
Haitao Zheng
Prateek Mittal
AAML
77
2
0
21 Feb 2023
Interpretable Spectrum Transformation Attacks to Speaker Recognition
Interpretable Spectrum Transformation Attacks to Speaker Recognition
Jiadi Yao
H. Luo
Xiao-Lei Zhang
AAML
61
2
0
21 Feb 2023
Generalization Bounds for Adversarial Contrastive Learning
Generalization Bounds for Adversarial Contrastive Learning
Xin Zou
Weiwei Liu
AAML
66
11
0
21 Feb 2023
Tell Model Where to Attend: Improving Interpretability of Aspect-Based
  Sentiment Classification via Small Explanation Annotations
Tell Model Where to Attend: Improving Interpretability of Aspect-Based Sentiment Classification via Small Explanation Annotations
Zhenxiao Cheng
Jie Zhou
Wen Wu
Qin Chen
Liang He
79
3
0
21 Feb 2023
Model-based feature selection for neural networks: A mixed-integer
  programming approach
Model-based feature selection for neural networks: A mixed-integer programming approach
Shudian Zhao
Calvin Tsay
Jan Kronqvist
85
5
0
20 Feb 2023
DC4L: Distribution Shift Recovery via Data-Driven Control for Deep
  Learning Models
DC4L: Distribution Shift Recovery via Data-Driven Control for Deep Learning Models
Vivian Lin
Kuk Jin Jang
Souradeep Dutta
Michele Caprio
O. Sokolsky
Insup Lee
OOD
84
6
0
20 Feb 2023
Variation Enhanced Attacks Against RRAM-based Neuromorphic Computing
  System
Variation Enhanced Attacks Against RRAM-based Neuromorphic Computing System
Hao Lv
Bing Li
Lefei Zhang
Cheng Liu
Ying Wang
AAML
34
3
0
20 Feb 2023
Stationary Point Losses for Robust Model
Stationary Point Losses for Robust Model
Weiwei Gao
Dazhi Zhang
Yao Li
Zhichang Guo
Ovanes Petrosian
OOD
102
0
0
19 Feb 2023
X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item
  Detection
X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection
Aishan Liu
Jun Guo
Jiakai Wang
Siyuan Liang
Renshuai Tao
Wenbo Zhou
Cong Liu
Xianglong Liu
Dacheng Tao
AAML
107
66
0
19 Feb 2023
Delving into the Adversarial Robustness of Federated Learning
Delving into the Adversarial Robustness of Federated Learning
Jie M. Zhang
Yue Liu
Chen Chen
Lingjuan Lyu
Shuang Wu
Shouhong Ding
Chao Wu
FedML
84
38
0
19 Feb 2023
MedViT: A Robust Vision Transformer for Generalized Medical Image
  Classification
MedViT: A Robust Vision Transformer for Generalized Medical Image Classification
Omid Nejati Manzari
Hamid Ahmadabadi
Hossein Kashiani
S. B. Shokouhi
Ahmad Ayatollahi
ViTMedIm
123
204
0
19 Feb 2023
Attacks in Adversarial Machine Learning: A Systematic Survey from the
  Life-cycle Perspective
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective
Baoyuan Wu
Zihao Zhu
Li Liu
Qingshan Liu
Zhaofeng He
Siwei Lyu
AAML
112
23
0
19 Feb 2023
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot
  Learning
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning
Yu Fu
Yu Xie
Yanwei Fu
Yugang Jiang
78
38
0
18 Feb 2023
Measuring Equality in Machine Learning Security Defenses: A Case Study
  in Speech Recognition
Measuring Equality in Machine Learning Security Defenses: A Case Study in Speech Recognition
Luke E. Richards
Edward Raff
Cynthia Matuszek
AAML
102
2
0
17 Feb 2023
Revisiting adversarial training for the worst-performing class
Revisiting adversarial training for the worst-performing class
Thomas Pethick
Grigorios G. Chrysos
Volkan Cevher
70
7
0
17 Feb 2023
Adversarial Contrastive Distillation with Adaptive Denoising
Adversarial Contrastive Distillation with Adaptive Denoising
Yuzheng Wang
Zhaoyu Chen
Dingkang Yang
Yang Liu
Siao Liu
Wenqiang Zhang
Lizhe Qi
97
22
0
17 Feb 2023
A Novel Noise Injection-based Training Scheme for Better Model
  Robustness
A Novel Noise Injection-based Training Scheme for Better Model Robustness
Zeliang Zhang
Jinyang Jiang
Minjie Chen
Zhiyuan Wang
Yijie Peng
Zhaofei Yu
63
3
0
17 Feb 2023
On the Effect of Adversarial Training Against Invariance-based
  Adversarial Examples
On the Effect of Adversarial Training Against Invariance-based Adversarial Examples
Roland Rauter
Martin Nocker
F. Merkle
Pascal Schöttle
AAML
35
2
0
16 Feb 2023
Prompt Tuning of Deep Neural Networks for Speaker-adaptive Visual Speech
  Recognition
Prompt Tuning of Deep Neural Networks for Speaker-adaptive Visual Speech Recognition
Minsu Kim
Hyungil Kim
Y. Ro
VLM
69
19
0
16 Feb 2023
Masking and Mixing Adversarial Training
Masking and Mixing Adversarial Training
Hiroki Adachi
Tsubasa Hirakawa
Takayoshi Yamashita
H. Fujiyoshi
Yasunori Ishii
Kazuki Kozuka
AAML
21
1
0
16 Feb 2023
AI Security Threats against Pervasive Robotic Systems: A Course for Next
  Generation Cybersecurity Workforce
AI Security Threats against Pervasive Robotic Systems: A Course for Next Generation Cybersecurity Workforce
Sudip Mittal
Jingdao Chen
SILM
50
1
0
15 Feb 2023
Evaluating Trade-offs in Computer Vision Between Attribute Privacy,
  Fairness and Utility
Evaluating Trade-offs in Computer Vision Between Attribute Privacy, Fairness and Utility
William Paul
P. Mathew
F. Alajaji
Philippe Burlina
38
2
0
15 Feb 2023
XploreNAS: Explore Adversarially Robust & Hardware-efficient Neural
  Architectures for Non-ideal Xbars
XploreNAS: Explore Adversarially Robust & Hardware-efficient Neural Architectures for Non-ideal Xbars
Abhiroop Bhattacharjee
Abhishek Moitra
Priyadarshini Panda
AAML
74
1
0
15 Feb 2023
On the Role of Randomization in Adversarially Robust Classification
On the Role of Randomization in Adversarially Robust Classification
Lucas Gnecco-Heredia
Y. Chevaleyre
Benjamin Négrevergne
Laurent Meunier
Muni Sreenivas Pydi
AAML
63
5
0
14 Feb 2023
Enhancing Model Performance in Multilingual Information Retrieval with
  Comprehensive Data Engineering Techniques
Enhancing Model Performance in Multilingual Information Retrieval with Comprehensive Data Engineering Techniques
Qi Zhang
Zijian Yang
Yi-Li Huang
Ze Chen
Zijian Cai
Kangxu Wang
Jiewen Zheng
Jiarong He
Jin Gao
LRMVLM
61
1
0
14 Feb 2023
Regret-Based Defense in Adversarial Reinforcement Learning
Regret-Based Defense in Adversarial Reinforcement Learning
Roman Belaire
Pradeep Varakantham
Thanh Nguyen
David Lo
AAML
49
3
0
14 Feb 2023
Learning with Noisy labels via Self-supervised Adversarial Noisy Masking
Learning with Noisy labels via Self-supervised Adversarial Noisy Masking
Yuanpeng Tu
Boshen Zhang
Yuxi Li
Liang Liu
Jian Li
Jiangning Zhang
Yabiao Wang
Chengjie Wang
C. Zhao
AAMLNoLa
82
16
0
14 Feb 2023
Paparazzi: A Deep Dive into the Capabilities of Language and Vision
  Models for Grounding Viewpoint Descriptions
Paparazzi: A Deep Dive into the Capabilities of Language and Vision Models for Grounding Viewpoint Descriptions
Henrik Voigt
J. Hombeck
M. Meuschke
K. Lawonn
Sina Zarrieß
VLM
92
1
0
13 Feb 2023
Learning from Noisy Crowd Labels with Logics
Learning from Noisy Crowd Labels with Logics
Zhijun Chen
Hailong Sun
Haoqian He
Pengpeng Chen
NoLaNAI
87
7
0
13 Feb 2023
Reliability Assurance for Deep Neural Network Architectures Against
  Numerical Defects
Reliability Assurance for Deep Neural Network Architectures Against Numerical Defects
Linyi Li
Yuhao Zhang
Luyao Ren
Yingfei Xiong
Tao Xie
63
9
0
13 Feb 2023
Threatening Patch Attacks on Object Detection in Optical Remote Sensing
  Images
Threatening Patch Attacks on Object Detection in Optical Remote Sensing Images
Xuxiang Sun
Gong Cheng
Lei Pei
Hongda Li
Junwei Han
AAML
55
38
0
13 Feb 2023
TextDefense: Adversarial Text Detection based on Word Importance Entropy
TextDefense: Adversarial Text Detection based on Word Importance Entropy
Lujia Shen
Xuhong Zhang
S. Ji
Yuwen Pu
Chunpeng Ge
Xing Yang
Yanghe Feng
AAML
59
8
0
12 Feb 2023
Stochastic Surprisal: An inferential measurement of Free Energy in
  Neural Networks
Stochastic Surprisal: An inferential measurement of Free Energy in Neural Networks
Mohit Prabhushankar
Ghassan Al-Regib
51
3
0
11 Feb 2023
Evaluating the Robustness of Discrete Prompts
Evaluating the Robustness of Discrete Prompts
Yoichi Ishibashi
Danushka Bollegala
Katsuhito Sudoh
Satoshi Nakamura
65
19
0
11 Feb 2023
Making Substitute Models More Bayesian Can Enhance Transferability of
  Adversarial Examples
Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples
Qizhang Li
Yiwen Guo
W. Zuo
Hao Chen
AAML
125
37
0
10 Feb 2023
Better Diffusion Models Further Improve Adversarial Training
Better Diffusion Models Further Improve Adversarial Training
Zekai Wang
Tianyu Pang
Chao Du
Min Lin
Weiwei Liu
Shuicheng Yan
DiffM
106
228
0
09 Feb 2023
Adversarial Example Does Good: Preventing Painting Imitation from
  Diffusion Models via Adversarial Examples
Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples
Chumeng Liang
Xiaoyu Wu
Yang Hua
Jiaru Zhang
Yiming Xue
Tao Song
Zhengui Xue
Ruhui Ma
Haibing Guan
DiffMWIGM
64
132
0
09 Feb 2023
IB-RAR: Information Bottleneck as Regularizer for Adversarial Robustness
IB-RAR: Information Bottleneck as Regularizer for Adversarial Robustness
Xiaoyun Xu
Guilherme Perin
S. Picek
AAML
89
1
0
09 Feb 2023
Et Tu Certifications: Robustness Certificates Yield Better Adversarial
  Examples
Et Tu Certifications: Robustness Certificates Yield Better Adversarial Examples
Andrew C. Cullen
Shijie Liu
Paul Montague
S. Erfani
Benjamin I. P. Rubinstein
AAML
92
3
0
09 Feb 2023
Disentangling Learning Representations with Density Estimation
Disentangling Learning Representations with Density Estimation
Eric C. Yeats
Frank Liu
Hai Helen Li
BDLDRLCML
111
2
0
08 Feb 2023
Black Box Adversarial Prompting for Foundation Models
Black Box Adversarial Prompting for Foundation Models
Natalie Maus
Patrick Chao
Eric Wong
Jacob R. Gardner
VLM
85
60
0
08 Feb 2023
Training-free Lexical Backdoor Attacks on Language Models
Training-free Lexical Backdoor Attacks on Language Models
Yujin Huang
Terry Yue Zhuo
Xingliang Yuan
Han Hu
Lizhen Qu
Chunyang Chen
SILM
97
46
0
08 Feb 2023
WAT: Improve the Worst-class Robustness in Adversarial Training
WAT: Improve the Worst-class Robustness in Adversarial Training
Boqi Li
Weiwei Liu
OODAAML
65
26
0
08 Feb 2023
On Function-Coupled Watermarks for Deep Neural Networks
On Function-Coupled Watermarks for Deep Neural Networks
Xiangyu Wen
Yu Li
Weizhen Jiang
Qian-Lan Xu
AAML
87
1
0
08 Feb 2023
Geometric Perception based Efficient Text Recognition
Geometric Perception based Efficient Text Recognition
P.N.Deelaka
D.R.Jayakodi
D.Y.Silva
43
3
0
08 Feb 2023
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