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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 / 8,345 papers shown
Title
Recognizing Object by Components with Human Prior Knowledge Enhances
  Adversarial Robustness of Deep Neural Networks
Recognizing Object by Components with Human Prior Knowledge Enhances Adversarial Robustness of Deep Neural Networks
Xiao-Li Li
Ziqi Wang
Bo Zhang
Gang Hua
Xiaolin Hu
72
26
0
04 Dec 2022
LDL: A Defense for Label-Based Membership Inference Attacks
LDL: A Defense for Label-Based Membership Inference Attacks
Arezoo Rajabi
D. Sahabandu
Luyao Niu
Bhaskar Ramasubramanian
Radha Poovendran
AAML
49
4
0
03 Dec 2022
Prediction of Scene Plausibility
Prediction of Scene Plausibility
O. Nachmias
Ohad Fried
Ariel Shamir
3DV
78
0
0
02 Dec 2022
Neural Representations Reveal Distinct Modes of Class Fitting in
  Residual Convolutional Networks
Neural Representations Reveal Distinct Modes of Class Fitting in Residual Convolutional Networks
Michal Jamro.z
Marcin Kurdziel
46
0
0
01 Dec 2022
Hijack Vertical Federated Learning Models As One Party
Hijack Vertical Federated Learning Models As One Party
Pengyu Qiu
Xuhong Zhang
Shouling Ji
Changjiang Li
Yuwen Pu
Xing Yang
Ting Wang
FedML
117
5
0
01 Dec 2022
Tight Certification of Adversarially Trained Neural Networks via
  Nonconvex Low-Rank Semidefinite Relaxations
Tight Certification of Adversarially Trained Neural Networks via Nonconvex Low-Rank Semidefinite Relaxations
Hong-Ming Chiu
Richard Y. Zhang
AAML
82
3
0
30 Nov 2022
Interpretation of Neural Networks is Susceptible to Universal
  Adversarial Perturbations
Interpretation of Neural Networks is Susceptible to Universal Adversarial Perturbations
Haniyeh Ehsani Oskouie
Farzan Farnia
FAttAAML
77
5
0
30 Nov 2022
Efficient Adversarial Input Generation via Neural Net Patching
Efficient Adversarial Input Generation via Neural Net Patching
Tooba Khan
Kumar Madhukar
Subodh Vishnu Sharma
AAML
53
0
0
30 Nov 2022
Toward Robust Diagnosis: A Contour Attention Preserving Adversarial
  Defense for COVID-19 Detection
Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 Detection
Kunlan Xiang
Xing Zhang
Jinwen She
Jinpeng Liu
Haohan Wang
Shiqi Deng
Shancheng Jiang
OODMedIm
101
6
0
30 Nov 2022
Adaptive adversarial training method for improving multi-scale GAN based
  on generalization bound theory
Adaptive adversarial training method for improving multi-scale GAN based on generalization bound theory
Jin-Lin Tang
B. Tao
Zeyu Gong
Zhoupin Yin
AI4CE
61
1
0
30 Nov 2022
A3T: Accuracy Aware Adversarial Training
A3T: Accuracy Aware Adversarial Training
Enes Altinisik
Safa Messaoud
Husrev Taha Sencar
Sanjay Chawla
52
6
0
29 Nov 2022
Advancing Deep Metric Learning Through Multiple Batch Norms And
  Multi-Targeted Adversarial Examples
Advancing Deep Metric Learning Through Multiple Batch Norms And Multi-Targeted Adversarial Examples
Inderjeet Singh
Kazuya Kakizaki
Toshinori Araki
AAMLOOD
77
0
0
29 Nov 2022
Quantization-aware Interval Bound Propagation for Training Certifiably
  Robust Quantized Neural Networks
Quantization-aware Interval Bound Propagation for Training Certifiably Robust Quantized Neural Networks
Mathias Lechner
Dorde Zikelic
K. Chatterjee
T. Henzinger
Daniela Rus
AAML
61
4
0
29 Nov 2022
Penalizing Confident Predictions on Largely Perturbed Inputs Does Not
  Improve Out-of-Distribution Generalization in Question Answering
Penalizing Confident Predictions on Largely Perturbed Inputs Does Not Improve Out-of-Distribution Generalization in Question Answering
Kazutoshi Shinoda
Saku Sugawara
Akiko Aizawa
OODAAML
52
0
0
29 Nov 2022
Balanced Semi-Supervised Generative Adversarial Network for Damage
  Assessment from Low-Data Imbalanced-Class Regime
Balanced Semi-Supervised Generative Adversarial Network for Damage Assessment from Low-Data Imbalanced-Class Regime
Yuqing Gao
Pengyuan Zhai
K. Mosalam
GANAI4CE
54
79
0
29 Nov 2022
Towards More Robust Interpretation via Local Gradient Alignment
Towards More Robust Interpretation via Local Gradient Alignment
Sunghwan Joo
Seokhyeon Jeong
Juyeon Heo
Adrian Weller
Taesup Moon
FAtt
88
6
0
29 Nov 2022
Data Poisoning Attack Aiming the Vulnerability of Continual Learning
Data Poisoning Attack Aiming the Vulnerability of Continual Learning
Gyojin Han
Jaehyun Choi
H. Hong
Junmo Kim
AAML
35
2
0
29 Nov 2022
Understanding the Impact of Adversarial Robustness on Accuracy Disparity
Understanding the Impact of Adversarial Robustness on Accuracy Disparity
Yuzheng Hu
Fan Wu
Hongyang R. Zhang
Hang Zhao
80
8
0
28 Nov 2022
Be Careful with Rotation: A Uniform Backdoor Pattern for 3D Shape
Be Careful with Rotation: A Uniform Backdoor Pattern for 3D Shape
Linkun Fan
Fazhi He
Qingchen Guo
Wei Tang
Xiaolin Hong
Bing Li
AAML3DPC
86
9
0
28 Nov 2022
Adversarial Artifact Detection in EEG-Based Brain-Computer Interfaces
Adversarial Artifact Detection in EEG-Based Brain-Computer Interfaces
Xiaoqing Chen
Dongrui Wu
AAML
91
3
0
28 Nov 2022
Rethinking the Number of Shots in Robust Model-Agnostic Meta-Learning
Rethinking the Number of Shots in Robust Model-Agnostic Meta-Learning
Xiaoyue Duan
Guoliang Kang
Runqi Wang
Shumin Han
Shenjun Xue
Tian Wang
Baochang Zhang
69
2
0
28 Nov 2022
Imperceptible Adversarial Attack via Invertible Neural Networks
Imperceptible Adversarial Attack via Invertible Neural Networks
Zihan Chen
Zifan Wang
Junjie Huang
Wentao Zhao
Xiao Liu
Dejian Guan
AAML
135
22
0
28 Nov 2022
Adversarial Rademacher Complexity of Deep Neural Networks
Adversarial Rademacher Complexity of Deep Neural Networks
Jiancong Xiao
Yanbo Fan
Ruoyu Sun
Zhimin Luo
AAML
60
23
0
27 Nov 2022
Federated Learning Attacks and Defenses: A Survey
Federated Learning Attacks and Defenses: A Survey
Yao Chen
Yijie Gui
Hong Lin
Wensheng Gan
Yongdong Wu
FedML
84
31
0
27 Nov 2022
Foiling Explanations in Deep Neural Networks
Foiling Explanations in Deep Neural Networks
Snir Vitrack Tamam
Raz Lapid
Moshe Sipper
AAML
75
17
0
27 Nov 2022
Neural Font Rendering
Neural Font Rendering
Daniel Anderson
Ariel Shamir
Ohad Fried
GANAI4CE
51
1
0
27 Nov 2022
Traditional Classification Neural Networks are Good Generators: They are
  Competitive with DDPMs and GANs
Traditional Classification Neural Networks are Good Generators: They are Competitive with DDPMs and GANs
Guangrun Wang
Philip Torr
83
9
0
27 Nov 2022
Neural Network Verification as Piecewise Linear Optimization:
  Formulations for the Composition of Staircase Functions
Neural Network Verification as Piecewise Linear Optimization: Formulations for the Composition of Staircase Functions
Tu Anh-Nguyen
Joey Huchette
65
2
0
27 Nov 2022
Game Theoretic Mixed Experts for Combinational Adversarial Machine
  Learning
Game Theoretic Mixed Experts for Combinational Adversarial Machine Learning
Ethan Rathbun
Kaleel Mahmood
Sohaib Ahmad
Caiwen Ding
Marten van Dijk
AAML
85
5
0
26 Nov 2022
Supervised Contrastive Prototype Learning: Augmentation Free Robust
  Neural Network
Supervised Contrastive Prototype Learning: Augmentation Free Robust Neural Network
Iordanis Fostiropoulos
Laurent Itti
83
1
0
26 Nov 2022
Exploring Temporal Information Dynamics in Spiking Neural Networks
Exploring Temporal Information Dynamics in Spiking Neural Networks
Youngeun Kim
Yuhang Li
Hyoungseob Park
Yeshwanth Venkatesha
Anna Hambitzer
Priyadarshini Panda
93
35
0
26 Nov 2022
Deep Learning Training Procedure Augmentations
Deep Learning Training Procedure Augmentations
Cristian Simionescu
104
1
0
25 Nov 2022
The Vanishing Decision Boundary Complexity and the Strong First
  Component
The Vanishing Decision Boundary Complexity and the Strong First Component
Hengshuai Yao
UQCV
68
0
0
25 Nov 2022
SpaText: Spatio-Textual Representation for Controllable Image Generation
SpaText: Spatio-Textual Representation for Controllable Image Generation
Omri Avrahami
Thomas Hayes
Oran Gafni
Sonal Gupta
Yaniv Taigman
Devi Parikh
Dani Lischinski
Ohad Fried
Xiaoyue Yin
DiffM
133
210
0
25 Nov 2022
Invariance-Aware Randomized Smoothing Certificates
Invariance-Aware Randomized Smoothing Certificates
Jan Schuchardt
Stephan Günnemann
AAML
62
6
0
25 Nov 2022
Boundary Adversarial Examples Against Adversarial Overfitting
Boundary Adversarial Examples Against Adversarial Overfitting
Muhammad Zaid Hameed
Beat Buesser
AAML
57
1
0
25 Nov 2022
Cross-Domain Ensemble Distillation for Domain Generalization
Cross-Domain Ensemble Distillation for Domain Generalization
Kyung-Jin Lee
Sungyeon Kim
Suha Kwak
FedMLOOD
84
38
0
25 Nov 2022
SAGA: Spectral Adversarial Geometric Attack on 3D Meshes
SAGA: Spectral Adversarial Geometric Attack on 3D Meshes
Tomer Stolik
Itai Lang
S. Avidan
AAML
56
1
0
24 Nov 2022
Towards Practical Control of Singular Values of Convolutional Layers
Towards Practical Control of Singular Values of Convolutional Layers
Alexandra Senderovich
Ekaterina Bulatova
Anton Obukhov
M. Rakhuba
AAML
79
9
0
24 Nov 2022
To be or not to be stable, that is the question: understanding neural
  networks for inverse problems
To be or not to be stable, that is the question: understanding neural networks for inverse problems
David Evangelista
J. Nagy
E. Morotti
E. L. Piccolomini
78
5
0
24 Nov 2022
Neural Network Complexity of Chaos and Turbulence
Neural Network Complexity of Chaos and Turbulence
Tim Whittaker
R. Janik
Yaron Oz
68
4
0
24 Nov 2022
DeepTaster: Adversarial Perturbation-Based Fingerprinting to Identify
  Proprietary Dataset Use in Deep Neural Networks
DeepTaster: Adversarial Perturbation-Based Fingerprinting to Identify Proprietary Dataset Use in Deep Neural Networks
Seonhye Park
A. Abuadbba
Shuo Wang
Kristen Moore
Yansong Gao
Hyoungshick Kim
Surya Nepal
AAML
51
2
0
24 Nov 2022
A Benchmark of Long-tailed Instance Segmentation with Noisy Labels
A Benchmark of Long-tailed Instance Segmentation with Noisy Labels
Guanlin Li
Guowen Xu
Tianwei Zhang
NoLaISeg
66
0
0
24 Nov 2022
Dual Graphs of Polyhedral Decompositions for the Detection of
  Adversarial Attacks
Dual Graphs of Polyhedral Decompositions for the Detection of Adversarial Attacks
Huma Jamil
Yajing Liu
Christina Cole
Nathaniel Blanchard
E. King
Michael Kirby
C. Peterson
AAML
58
2
0
23 Nov 2022
Query Efficient Cross-Dataset Transferable Black-Box Attack on Action
  Recognition
Query Efficient Cross-Dataset Transferable Black-Box Attack on Action Recognition
Rohit Gupta
Naveed Akhtar
Gaurav Kumar Nayak
Ajmal Mian
M. Shah
AAML
69
1
0
23 Nov 2022
Adversarial Attacks are a Surprisingly Strong Baseline for Poisoning
  Few-Shot Meta-Learners
Adversarial Attacks are a Surprisingly Strong Baseline for Poisoning Few-Shot Meta-Learners
E. T. Oldewage
J. Bronskill
Richard Turner
61
3
0
23 Nov 2022
Vertical Federated Learning: Concepts, Advances and Challenges
Vertical Federated Learning: Concepts, Advances and Challenges
Yang Liu
Yan Kang
Tianyuan Zou
Yanhong Pu
Yuanqin He
Xiaozhou Ye
Ye Ouyang
Yaqin Zhang
Qian Yang
FedML
190
176
0
23 Nov 2022
Safety Analysis of Autonomous Driving Systems Based on Model Learning
Safety Analysis of Autonomous Driving Systems Based on Model Learning
Renjue Li
Tianhang Qin
Pengfei Yang
Cheng-Chao Huang
Youcheng Sun
Lijun Zhang
69
1
0
23 Nov 2022
Benchmarking Adversarially Robust Quantum Machine Learning at Scale
Benchmarking Adversarially Robust Quantum Machine Learning at Scale
Maxwell T. West
S. Erfani
C. Leckie
M. Sevior
Lloyd C. L. Hollenberg
Muhammad Usman
AAMLOOD
84
35
0
23 Nov 2022
Improving Robust Generalization by Direct PAC-Bayesian Bound
  Minimization
Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization
Zifa Wang
Nan Ding
Tomer Levinboim
Xi Chen
Radu Soricut
AAML
79
6
0
22 Nov 2022
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