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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 / 8,374 papers shown
Title
Adversarial robustness of amortized Bayesian inference
Adversarial robustness of amortized Bayesian inference
Manuel Glöckler
Michael Deistler
Jakob H. Macke
AAML
96
16
0
24 May 2023
Adversarial Demonstration Attacks on Large Language Models
Adversarial Demonstration Attacks on Large Language Models
Jiong Wang
Zi-yang Liu
Keun Hee Park
Zhuojun Jiang
Zhaoheng Zheng
Zhuofeng Wu
Muhao Chen
Chaowei Xiao
SILM
115
57
0
24 May 2023
Introducing Competition to Boost the Transferability of Targeted
  Adversarial Examples through Clean Feature Mixup
Introducing Competition to Boost the Transferability of Targeted Adversarial Examples through Clean Feature Mixup
Junyoung Byun
Myung-Joon Kwon
Seungju Cho
Yoonji Kim
Changick Kim
AAML
98
18
0
24 May 2023
AdvFunMatch: When Consistent Teaching Meets Adversarial Robustness
AdvFunMatch: When Consistent Teaching Meets Adversarial Robustness
Ziuhi Wu
Haichang Gao
Bingqian Zhou
Ping Wang
AAML
70
0
0
24 May 2023
Sharpness-Aware Data Poisoning Attack
Sharpness-Aware Data Poisoning Attack
Pengfei He
Han Xu
Jie Ren
Yingqian Cui
Hui Liu
Charu C. Aggarwal
Jiliang Tang
AAML
156
8
0
24 May 2023
Interpretation of Time-Series Deep Models: A Survey
Interpretation of Time-Series Deep Models: A Survey
Ziqi Zhao
Yucheng Shi
Shushan Wu
Fan Yang
Wenzhan Song
Ninghao Liu
AI4TS
95
7
0
23 May 2023
Adversarial Machine Learning and Cybersecurity: Risks, Challenges, and
  Legal Implications
Adversarial Machine Learning and Cybersecurity: Risks, Challenges, and Legal Implications
Micah Musser
A. Lohn
J. Dempsey
Jonathan M. Spring
Ramnath Kumar
...
J. Bansemer
Mikel Rodriguez
M. Regan
Rumman Chowdhury
Stefan Hermanek
SILM
19
5
0
23 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 Attacks
I. Frosio
Jan Kautz
AAML
98
15
0
23 May 2023
Out-of-Distribution Generalization in Text Classification: Past,
  Present, and Future
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future
Linyi Yang
Yangqiu Song
Xuan Ren
Chenyang Lyu
Yidong Wang
Lingqiao Liu
Jindong Wang
Jennifer Foster
Yue Zhang
OOD
129
3
0
23 May 2023
QFA2SR: Query-Free Adversarial Transfer Attacks to Speaker Recognition
  Systems
QFA2SR: Query-Free Adversarial Transfer Attacks to Speaker Recognition Systems
Guangke Chen
Yedi Zhang
Zhe Zhao
Fu Song
AAML
71
14
0
23 May 2023
Expressive Losses for Verified Robustness via Convex Combinations
Expressive Losses for Verified Robustness via Convex Combinations
Alessandro De Palma
Rudy Bunel
Krishnamurthy Dvijotham
M. P. Kumar
Robert Stanforth
A. Lomuscio
AAML
106
14
0
23 May 2023
Enhancing Accuracy and Robustness through Adversarial Training in Class
  Incremental Continual Learning
Enhancing Accuracy and Robustness through Adversarial Training in Class Incremental Continual Learning
Minchan Kwon
Kangil Kim
AAML
36
0
0
23 May 2023
DiffProtect: Generate Adversarial Examples with Diffusion Models for
  Facial Privacy Protection
DiffProtect: Generate Adversarial Examples with Diffusion Models for Facial Privacy Protection
Jiang-Long Liu
Chun Pong Lau
Ramalingam Chellappa
DiffM
78
32
0
23 May 2023
Adversarial Defenses via Vector Quantization
Adversarial Defenses via Vector Quantization
Zhiyi Dong
Yongyi Mao
AAML
72
1
0
23 May 2023
Improving Classifier Robustness through Active Generation of Pairwise
  Counterfactuals
Improving Classifier Robustness through Active Generation of Pairwise Counterfactuals
Ananth Balashankar
Xuezhi Wang
Yao Qin
Ben Packer
Nithum Thain
Jilin Chen
Ed H. Chi
Alex Beutel
65
0
0
22 May 2023
DeepBern-Nets: Taming the Complexity of Certifying Neural Networks using
  Bernstein Polynomial Activations and Precise Bound Propagation
DeepBern-Nets: Taming the Complexity of Certifying Neural Networks using Bernstein Polynomial Activations and Precise Bound Propagation
Haitham Khedr
Yasser Shoukry
67
5
0
22 May 2023
Causality-Aided Trade-off Analysis for Machine Learning Fairness
Causality-Aided Trade-off Analysis for Machine Learning Fairness
Zhenlan Ji
Pingchuan Ma
Shuai Wang
Yanhui Li
FaML
127
8
0
22 May 2023
Latent Magic: An Investigation into Adversarial Examples Crafted in the
  Semantic Latent Space
Latent Magic: An Investigation into Adversarial Examples Crafted in the Semantic Latent Space
Bo Zheng
DiffM
99
1
0
22 May 2023
Building an Invisible Shield for Your Portrait against Deepfakes
Building an Invisible Shield for Your Portrait against Deepfakes
Jiazhi Guan
Tianshu Hu
Hang Zhou
Zhizhi Guo
Lirui Deng
Chengbin Quan
Errui Ding
Youjian Zhao
PICV
81
4
0
22 May 2023
Towards Benchmarking and Assessing Visual Naturalness of Physical World
  Adversarial Attacks
Towards Benchmarking and Assessing Visual Naturalness of Physical World Adversarial Attacks
Simin Li
Shuing Zhang
Gujun Chen
Dong Wang
Pu Feng
Jiakai Wang
Aishan Liu
Xin Yi
Xianglong Liu
AAML
65
18
0
22 May 2023
Flying Adversarial Patches: Manipulating the Behavior of Deep
  Learning-based Autonomous Multirotors
Flying Adversarial Patches: Manipulating the Behavior of Deep Learning-based Autonomous Multirotors
Pia Hanfeld
Marina M.-C. Höhne
Michael Bussmann
Wolfgang Hönig
AAML
58
1
0
22 May 2023
Cycle Consistency-based Uncertainty Quantification of Neural Networks in
  Inverse Imaging Problems
Cycle Consistency-based Uncertainty Quantification of Neural Networks in Inverse Imaging Problems
Luzhe Huang
Jianing Li
Xiaofu Ding
Yijie Zhang
Hanlong Chen
Aydogan Ozcan
UQCV
57
2
0
22 May 2023
Uncertainty-based Detection of Adversarial Attacks in Semantic
  Segmentation
Uncertainty-based Detection of Adversarial Attacks in Semantic Segmentation
Kira Maag
Asja Fischer
AAMLUQCV
79
4
0
22 May 2023
FGAM:Fast Adversarial Malware Generation Method Based on Gradient Sign
FGAM:Fast Adversarial Malware Generation Method Based on Gradient Sign
Kunkun Li
Fan Zhang
Wei Guo
AAML
29
4
0
22 May 2023
SneakyPrompt: Jailbreaking Text-to-image Generative Models
SneakyPrompt: Jailbreaking Text-to-image Generative Models
Yuchen Yang
Bo Hui
Haolin Yuan
Neil Zhenqiang Gong
Yinzhi Cao
EGVM
187
93
0
20 May 2023
Multi-Task Models Adversarial Attacks
Multi-Task Models Adversarial Attacks
Lijun Zhang
Xiao Liu
Kaleel Mahmood
Caiwen Ding
Hui Guan
AAML
91
0
0
20 May 2023
Pseudo-Label Training and Model Inertia in Neural Machine Translation
Pseudo-Label Training and Model Inertia in Neural Machine Translation
B. Hsu
Anna Currey
Xing Niu
Maria Nuadejde
Georgiana Dinu
ODL
89
2
0
19 May 2023
Efficient ConvBN Blocks for Transfer Learning and Beyond
Efficient ConvBN Blocks for Transfer Learning and Beyond
Kaichao You
Guo Qin
Anchang Bao
Mengsi Cao
Ping Huang
Jiulong Shan
Mingsheng Long
66
1
0
19 May 2023
DAP: A Dynamic Adversarial Patch for Evading Person Detectors
DAP: A Dynamic Adversarial Patch for Evading Person Detectors
Amira Guesmi
Ruitian Ding
Muhammad Abdullah Hanif
Ihsen Alouani
Mohamed Bennai
AAML
114
28
0
19 May 2023
Diversifying Deep Ensembles: A Saliency Map Approach for Enhanced OOD
  Detection, Calibration, and Accuracy
Diversifying Deep Ensembles: A Saliency Map Approach for Enhanced OOD Detection, Calibration, and Accuracy
Stanislav Dereka
I. Karpukhin
Maksim Zhdanov
Sergey Kolesnikov
104
0
0
19 May 2023
Few-Shot Learning with Visual Distribution Calibration and Cross-Modal
  Distribution Alignment
Few-Shot Learning with Visual Distribution Calibration and Cross-Modal Distribution Alignment
Runqi Wang
Hao Zheng
Xiaoyue Duan
Jianzhuang Liu
Yuning Lu
Tian Wang
Songcen Xu
Baochang Zhang
VLM
64
12
0
19 May 2023
Towards Human-AI Collaborative Urban Science Research Enabled by
  Pre-trained Large Language Models
Towards Human-AI Collaborative Urban Science Research Enabled by Pre-trained Large Language Models
Jiayi Fu
Haoying Han
Xing Su
Chao Fan
AI4CE
65
12
0
19 May 2023
A Survey of Safety and Trustworthiness of Large Language Models through
  the Lens of Verification and Validation
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation
Xiaowei Huang
Wenjie Ruan
Wei Huang
Gao Jin
Yizhen Dong
...
Sihao Wu
Peipei Xu
Dengyu Wu
André Freitas
Mustafa A. Mustafa
ALM
132
96
0
19 May 2023
TrustSER: On the Trustworthiness of Fine-tuning Pre-trained Speech
  Embeddings For Speech Emotion Recognition
TrustSER: On the Trustworthiness of Fine-tuning Pre-trained Speech Embeddings For Speech Emotion Recognition
Tiantian Feng
Rajat Hebbar
Shrikanth Narayanan
69
7
0
18 May 2023
RobustFair: Adversarial Evaluation through Fairness Confusion Directed
  Gradient Search
RobustFair: Adversarial Evaluation through Fairness Confusion Directed Gradient Search
Xuran Li
Peng Wu
Kaixiang Dong
Zhen Zhang
Yanting Chen
AAML
51
0
0
18 May 2023
How Deep Learning Sees the World: A Survey on Adversarial Attacks &
  Defenses
How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses
Joana Cabral Costa
Tiago Roxo
Hugo Manuel Proença
Pedro R. M. Inácio
AAML
120
63
0
18 May 2023
Transforming Human-Centered AI Collaboration: Redefining Embodied Agents
  Capabilities through Interactive Grounded Language Instructions
Transforming Human-Centered AI Collaboration: Redefining Embodied Agents Capabilities through Interactive Grounded Language Instructions
Shrestha Mohanty
Negar Arabzadeh
Julia Kiseleva
Artem Zholus
Milagro Teruel
Ahmed Hassan Awadallah
Yuxuan Sun
Kavya Srinet
Arthur Szlam
LM&Ro
127
13
0
18 May 2023
Adversarial Amendment is the Only Force Capable of Transforming an Enemy
  into a Friend
Adversarial Amendment is the Only Force Capable of Transforming an Enemy into a Friend
Chong Yu
Tao Chen
Zhongxue Gan
AAML
46
1
0
18 May 2023
Content-based Unrestricted Adversarial Attack
Content-based Unrestricted Adversarial Attack
Zhaoyu Chen
Yue Liu
Shuang Wu
Kaixun Jiang
Shouhong Ding
Wenqiang Zhang
DiffM
91
70
0
18 May 2023
Variational Classification
Variational Classification
Shehzaad Dhuliawala
Mrinmaya Sachan
Carl Allen
BDL
68
7
0
17 May 2023
Raising the Bar for Certified Adversarial Robustness with Diffusion
  Models
Raising the Bar for Certified Adversarial Robustness with Diffusion Models
Thomas Altstidl
David Dobre
Björn Eskofier
Gauthier Gidel
Leo Schwinn
DiffM
100
7
0
17 May 2023
Sharpness & Shift-Aware Self-Supervised Learning
Sharpness & Shift-Aware Self-Supervised Learning
Ngoc N. Tran
S. Duong
Hoang Phan
Tung Pham
Dinh Q. Phung
Trung Le
SSL
71
1
0
17 May 2023
Multi-Agent Reinforcement Learning: Methods, Applications, Visionary
  Prospects, and Challenges
Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges
Ziyuan Zhou
Guanjun Liu
Ying-Si Tang
120
22
0
17 May 2023
Noise robust neural network architecture
Noise robust neural network architecture
Yunuo Xiong
Hongwei Xiong
63
1
0
16 May 2023
Iterative Adversarial Attack on Image-guided Story Ending Generation
Iterative Adversarial Attack on Image-guided Story Ending Generation
Youze Wang
Wenbo Hu
Richang Hong
76
5
0
16 May 2023
Attacking Perceptual Similarity Metrics
Attacking Perceptual Similarity Metrics
Abhijay Ghildyal
Feng Liu
AAML
97
10
0
15 May 2023
Exploiting Frequency Spectrum of Adversarial Images for General
  Robustness
Exploiting Frequency Spectrum of Adversarial Images for General Robustness
Chun Yang Tan
K. Kawamoto
Hiroshi Kera
AAMLOOD
61
1
0
15 May 2023
Diffusion Models for Imperceptible and Transferable Adversarial Attack
Diffusion Models for Imperceptible and Transferable Adversarial Attack
Jianqi Chen
Hechang Chen
Keyan Chen
Yilan Zhang
Zhengxia Zou
Z. Shi
DiffM
116
73
0
14 May 2023
Improving Defensive Distillation using Teacher Assistant
Improving Defensive Distillation using Teacher Assistant
Maniratnam Mandal
Suna Gao
AAML
18
0
0
14 May 2023
On enhancing the robustness of Vision Transformers: Defensive Diffusion
On enhancing the robustness of Vision Transformers: Defensive Diffusion
Raza Imam
Muhammad Huzaifa
Mohammed El-Amine Azz
MedImDiffM
120
5
0
14 May 2023
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