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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 / 8,369 papers shown
Title
eXplainable Artificial Intelligence on Medical Images: A Survey
eXplainable Artificial Intelligence on Medical Images: A Survey
Matteus Vargas Simao da Silva
Rodrigo Reis Arrais
Jhessica Victoria Santos da Silva
Felipe Souza Tanios
Mateus A. Chinelatto
...
Fabiana Cristina Queiroz de Oliveira Marucci
Francisco Alves de Souza Neto
Danilo Xavier Silva
Vitor Yukio Kondo
C. F. G. Santos
MedImXAI
40
1
0
12 May 2023
Efficient Search of Comprehensively Robust Neural Architectures via
  Multi-fidelity Evaluation
Efficient Search of Comprehensively Robust Neural Architectures via Multi-fidelity Evaluation
Jialiang Sun
Wen Yao
Tingsong Jiang
Xiaoqian Chen
AAML
75
10
0
12 May 2023
A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets
  Prompt Engineering
A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering
Chaoning Zhang
Fachrina Dewi Puspitasari
Sheng Zheng
Chenghao Li
Yu Qiao
...
Caiyan Qin
François Rameau
Lik-Hang Lee
Sung-Ho Bae
Choong Seon Hong
VLM
167
67
0
12 May 2023
Adversarial Security and Differential Privacy in mmWave Beam Prediction
  in 6G networks
Adversarial Security and Differential Privacy in mmWave Beam Prediction in 6G networks
G. S. Krishna
Kundrapu Supriya
Sanskar Singh
S. Baidya
AAML
42
0
0
12 May 2023
Inter-frame Accelerate Attack against Video Interpolation Models
Inter-frame Accelerate Attack against Video Interpolation Models
Junpei Liao
Zhikai Chen
Liang Yi
Wenyuan Yang
Baoyuan Wu
Xiaochun Cao
AAML
97
1
0
11 May 2023
A Survey on the Robustness of Computer Vision Models against Common
  Corruptions
A Survey on the Robustness of Computer Vision Models against Common Corruptions
Shunxin Wang
Raymond N. J. Veldhuis
Christoph Brune
N. Strisciuglio
OODVLM
139
14
0
10 May 2023
Sharpness-Aware Minimization Alone can Improve Adversarial Robustness
Sharpness-Aware Minimization Alone can Improve Adversarial Robustness
Zeming Wei
Jingyu Zhu
Yihao Zhang
AAML
96
11
0
09 May 2023
Attack Named Entity Recognition by Entity Boundary Interference
Attack Named Entity Recognition by Entity Boundary Interference
Yifei Yang
Hongqiu Wu
Hai Zhao
AAML
89
5
0
09 May 2023
Modelling Concurrency Bugs Using Machine Learning
Modelling Concurrency Bugs Using Machine Learning
Teodor Rares Begu
36
0
0
08 May 2023
Understanding Noise-Augmented Training for Randomized Smoothing
Understanding Noise-Augmented Training for Randomized Smoothing
Ambar Pal
Jeremias Sulam
AAML
67
7
0
08 May 2023
Toward Adversarial Training on Contextualized Language Representation
Toward Adversarial Training on Contextualized Language Representation
Hongqiu Wu
Yang Liu
Han Shi
Haizhen Zhao
Hao Fei
AAML
54
14
0
08 May 2023
Privacy-preserving Adversarial Facial Features
Privacy-preserving Adversarial Facial Features
Peng Kuang
He Wang
Shuai Jin
Wenwen Zhang
Jiahui Hu
Yan Wang
Peng Sun
Weiting Yuan
Kai-yan Liu
Kui Ren
CVBMAAMLPICV
64
14
0
08 May 2023
Adversarial Examples Detection with Enhanced Image Difference Features
  based on Local Histogram Equalization
Adversarial Examples Detection with Enhanced Image Difference Features based on Local Histogram Equalization
Z. Yin
Shaowei Zhu
Han Su
Jianteng Peng
Wanli Lyu
Bin Luo
AAML
65
2
0
08 May 2023
Pick your Poison: Undetectability versus Robustness in Data Poisoning
  Attacks
Pick your Poison: Undetectability versus Robustness in Data Poisoning Attacks
Nils Lukas
Florian Kerschbaum
95
1
0
07 May 2023
Robust Multi-agent Communication via Multi-view Message Certification
Robust Multi-agent Communication via Multi-view Message Certification
Lei Yuan
T. Jiang
Lihe Li
F. Chen
Zongzhang Zhang
Yang Yu
83
2
0
07 May 2023
Leveraging Synthetic Targets for Machine Translation
Leveraging Synthetic Targets for Machine Translation
Sarthak Mittal
Oleksii Hrinchuk
Oleksii Kuchaiev
60
2
0
07 May 2023
Towards Prompt-robust Face Privacy Protection via Adversarial Decoupling
  Augmentation Framework
Towards Prompt-robust Face Privacy Protection via Adversarial Decoupling Augmentation Framework
Ruijia Wu
Yuhang Wang
Huafeng Shi
Zhipeng Yu
Yichao Wu
Ding Liang
DiffM
67
9
0
06 May 2023
Energy-Latency Attacks to On-Device Neural Networks via Sponge Poisoning
Energy-Latency Attacks to On-Device Neural Networks via Sponge Poisoning
Zijian Wang
Shuo Huang
Yu-Jen Huang
Helei Cui
SILM
43
11
0
06 May 2023
Evading Watermark based Detection of AI-Generated Content
Evading Watermark based Detection of AI-Generated Content
Zhengyuan Jiang
Jinghuai Zhang
Neil Zhenqiang Gong
WIGM
134
83
0
05 May 2023
White-Box Multi-Objective Adversarial Attack on Dialogue Generation
White-Box Multi-Objective Adversarial Attack on Dialogue Generation
Yufei Li
Zexin Li
Ying Gao
Cong Liu
AAML
68
12
0
05 May 2023
Random Smoothing Regularization in Kernel Gradient Descent Learning
Random Smoothing Regularization in Kernel Gradient Descent Learning
Liang Ding
Tianyang Hu
Jiahan Jiang
Donghao Li
Wei Cao
Yuan Yao
72
6
0
05 May 2023
Repairing Deep Neural Networks Based on Behavior Imitation
Repairing Deep Neural Networks Based on Behavior Imitation
Zhen Liang
Taoran Wu
Changyuan Zhao
Wanwei Liu
Bai Xue
Wenjing Yang
Jing Wang
AAML
112
5
0
05 May 2023
Reduction of Class Activation Uncertainty with Background Information
Reduction of Class Activation Uncertainty with Background Information
H. M. D. Kabir
96
9
0
05 May 2023
A Survey on Out-of-Distribution Detection in NLP
A Survey on Out-of-Distribution Detection in NLP
Hao Lang
Yinhe Zheng
Yixuan Li
Jian Sun
Feiling Huang
Yongbin Li
91
25
0
05 May 2023
Single Node Injection Label Specificity Attack on Graph Neural Networks
  via Reinforcement Learning
Single Node Injection Label Specificity Attack on Graph Neural Networks via Reinforcement Learning
Dayuan Chen
Jian Zhang
Yuqian Lv
Jinhuan Wang
Hongjie Ni
Shanqing Yu
Zhen Wang
Qi Xuan
AAML
97
4
0
04 May 2023
Uncertainty Aware Deep Learning Model for Secure and Trustworthy Channel
  Estimation in 5G Networks
Uncertainty Aware Deep Learning Model for Secure and Trustworthy Channel Estimation in 5G Networks
Ferhat Ozgur Catak
Marc Brittain
Murat Kuzlu
Christine Serres
UQCV
52
1
0
04 May 2023
Madvex: Instrumentation-based Adversarial Attacks on Machine Learning
  Malware Detection
Madvex: Instrumentation-based Adversarial Attacks on Machine Learning Malware Detection
Yang Cai
Felix Mächtle
C. Daskalakis
Volodymyr Bezsmertnyi
T. Eisenbarth
AAML
83
7
0
04 May 2023
PTP: Boosting Stability and Performance of Prompt Tuning with
  Perturbation-Based Regularizer
PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer
Lichang Chen
Heng-Chiao Huang
Varun Madhavan
AAML
176
12
0
03 May 2023
On the Security Risks of Knowledge Graph Reasoning
On the Security Risks of Knowledge Graph Reasoning
Zhaohan Xi
Tianyu Du
Changjiang Li
Ren Pang
S. Ji
Xiapu Luo
Xusheng Xiao
Fenglong Ma
Ting Wang
59
10
0
03 May 2023
New Adversarial Image Detection Based on Sentiment Analysis
New Adversarial Image Detection Based on Sentiment Analysis
Yulong Wang
Tianxiang Li
Shenghong Li
Xinnan Yuan
W. Ni
AAML
88
11
0
03 May 2023
Fully Automatic Neural Network Reduction for Formal Verification
Fully Automatic Neural Network Reduction for Formal Verification
Tobias Ladner
Matthias Althoff
AAML
76
4
0
03 May 2023
Hamming Similarity and Graph Laplacians for Class Partitioning and
  Adversarial Image Detection
Hamming Similarity and Graph Laplacians for Class Partitioning and Adversarial Image Detection
Huma Jamil
Yajing Liu
T. Caglar
Christina Cole
Nathaniel Blanchard
Christopher Peterson
Michael Kirby
59
4
0
02 May 2023
Sentiment Perception Adversarial Attacks on Neural Machine Translation
  Systems
Sentiment Perception Adversarial Attacks on Neural Machine Translation Systems
Vyas Raina
Mark Gales
AAML
69
1
0
02 May 2023
Boosting Adversarial Transferability via Fusing Logits of Top-1
  Decomposed Feature
Boosting Adversarial Transferability via Fusing Logits of Top-1 Decomposed Feature
Juanjuan Weng
Zhiming Luo
Dazhen Lin
Shaozi Li
Zhun Zhong
AAMLFedML
119
7
0
02 May 2023
Physical Adversarial Attacks for Surveillance: A Survey
Physical Adversarial Attacks for Surveillance: A Survey
Kien Nguyen Thanh
Tharindu Fernando
Clinton Fookes
Sridha Sridharan
AAML
109
8
0
01 May 2023
Attack-SAM: Towards Attacking Segment Anything Model With Adversarial
  Examples
Attack-SAM: Towards Attacking Segment Anything Model With Adversarial Examples
Chenshuang Zhang
Chaoning Zhang
Taegoo Kang
Donghun Kim
Sung-Ho Bae
In So Kweon
AAMLVLM
90
3
0
01 May 2023
Revisiting Robustness in Graph Machine Learning
Revisiting Robustness in Graph Machine Learning
Lukas Gosch
Daniel Sturm
Simon Geisler
Stephan Günnemann
AAMLOOD
163
23
0
01 May 2023
Assessing Vulnerabilities of Adversarial Learning Algorithm through
  Poisoning Attacks
Assessing Vulnerabilities of Adversarial Learning Algorithm through Poisoning Attacks
Jingfeng Zhang
Bo Song
Bo Han
Lei Liu
Gang Niu
Masashi Sugiyama
AAML
77
2
0
30 Apr 2023
Enhancing Adversarial Contrastive Learning via Adversarial Invariant
  Regularization
Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization
Xilie Xu
Jingfeng Zhang
Feng Liu
Masashi Sugiyama
Mohan S. Kankanhalli
AAML
111
11
0
30 Apr 2023
Toward $L_\infty$-recovery of Nonlinear Functions: A Polynomial Sample
  Complexity Bound for Gaussian Random Fields
Toward L∞L_\inftyL∞​-recovery of Nonlinear Functions: A Polynomial Sample Complexity Bound for Gaussian Random Fields
Kefan Dong
Tengyu Ma
90
4
0
29 Apr 2023
Optimizing the AI Development Process by Providing the Best Support
  Environment
Optimizing the AI Development Process by Providing the Best Support Environment
Taha Khamis
Hamam Mokayed
52
1
0
29 Apr 2023
When Deep Learning Meets Polyhedral Theory: A Survey
When Deep Learning Meets Polyhedral Theory: A Survey
Joey Huchette
Gonzalo Muñoz
Thiago Serra
Calvin Tsay
AI4CE
162
37
0
29 Apr 2023
On the existence of solutions to adversarial training in multiclass
  classification
On the existence of solutions to adversarial training in multiclass classification
Nicolas García Trillos
Matt Jacobs
Jakwang Kim
74
8
0
28 Apr 2023
The Power of Typed Affine Decision Structures: A Case Study
The Power of Typed Affine Decision Structures: A Case Study
Gerrit Nolte
Maximilian Schlüter
Alnis Murtovi
Bernhard Steffen
AAML
49
3
0
28 Apr 2023
Improve Video Representation with Temporal Adversarial Augmentation
Improve Video Representation with Temporal Adversarial Augmentation
Jinhao Duan
Quanfu Fan
Hao-Ran Cheng
Xiaoshuang Shi
Kaidi Xu
AAMLAI4TSViT
56
2
0
28 Apr 2023
Adversary Aware Continual Learning
Adversary Aware Continual Learning
Muhammad Umer
R. Polikar
AAML
74
3
0
27 Apr 2023
ChatGPT as an Attack Tool: Stealthy Textual Backdoor Attack via Blackbox
  Generative Model Trigger
ChatGPT as an Attack Tool: Stealthy Textual Backdoor Attack via Blackbox Generative Model Trigger
Jiazhao Li
Yijin Yang
Zhuofeng Wu
V. Vydiswaran
Chaowei Xiao
SILM
212
46
0
27 Apr 2023
Cluster Flow: how a hierarchical clustering layer make allows deep-NNs
  more resilient to hacking, more human-like and easily implements relational
  reasoning
Cluster Flow: how a hierarchical clustering layer make allows deep-NNs more resilient to hacking, more human-like and easily implements relational reasoning
E. Gale
Oliver Matthews
3DH
32
0
0
27 Apr 2023
Moderately Distributional Exploration for Domain Generalization
Moderately Distributional Exploration for Domain Generalization
Ruiqi Dai
Yonggang Zhang
Zhen Fang
Bo Han
Xinmei Tian
OOD
117
20
0
27 Apr 2023
Enhancing Robustness of Gradient-Boosted Decision Trees through One-Hot
  Encoding and Regularization
Enhancing Robustness of Gradient-Boosted Decision Trees through One-Hot Encoding and Regularization
Shijie Cui
Agus Sudjianto
Aijun Zhang
Runze Li
AI4CE
98
11
0
26 Apr 2023
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