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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 / 8,382 papers shown
Title
Training robust and generalizable quantum models
Training robust and generalizable quantum models
Julian Berberich
Daniel Fink
Daniel Pranjić
C. Tutschku
Christian Holm
OOD
80
14
0
20 Nov 2023
AdvGen: Physical Adversarial Attack on Face Presentation Attack
  Detection Systems
AdvGen: Physical Adversarial Attack on Face Presentation Attack Detection Systems
Sai Amrit Patnaik
Shivali Chansoriya
Anil K. Jain
A. Namboodiri
AAMLGAN
89
0
0
20 Nov 2023
ODDR: Outlier Detection & Dimension Reduction Based Defense Against
  Adversarial Patches
ODDR: Outlier Detection & Dimension Reduction Based Defense Against Adversarial Patches
Nandish Chattopadhyay
Amira Guesmi
Muhammad Abdullah Hanif
B. Ouni
Mohamed Bennai
OODD
97
3
0
20 Nov 2023
Token-Level Adversarial Prompt Detection Based on Perplexity Measures
  and Contextual Information
Token-Level Adversarial Prompt Detection Based on Perplexity Measures and Contextual Information
Zhengmian Hu
Gang Wu
Saayan Mitra
Ruiyi Zhang
Tong Sun
Heng-Chiao Huang
Vishy Swaminathan
102
27
0
20 Nov 2023
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems
Guangjing Wang
Ce Zhou
Yuanda Wang
Bocheng Chen
Hanqing Guo
Qiben Yan
AAMLSILM
144
3
0
20 Nov 2023
Robust Network Slicing: Multi-Agent Policies, Adversarial Attacks, and
  Defensive Strategies
Robust Network Slicing: Multi-Agent Policies, Adversarial Attacks, and Defensive Strategies
Feng Wang
M. C. Gursoy
Senem Velipasalar
AAML
42
1
0
19 Nov 2023
Boost Adversarial Transferability by Uniform Scale and Mix Mask Method
Boost Adversarial Transferability by Uniform Scale and Mix Mask Method
Tao Wang
Zijian Ying
Qianmu Li
Zhichao Lian
AAML
122
6
0
18 Nov 2023
Improving Adversarial Transferability by Stable Diffusion
Improving Adversarial Transferability by Stable Diffusion
Jiayang Liu
Siyu Zhu
Siyuan Liang
Jie Zhang
Han Fang
Weiming Zhang
Ee-Chien Chang
AAMLDiffM
75
12
0
18 Nov 2023
Towards Robust and Accurate Visual Prompting
Towards Robust and Accurate Visual Prompting
Qi Li
Liangzhi Li
Zhouqiang Jiang
Bowen Wang
VPVLMVLM
66
3
0
18 Nov 2023
PACOL: Poisoning Attacks Against Continual Learners
PACOL: Poisoning Attacks Against Continual Learners
Huayu Li
G. Ditzler
AAML
63
3
0
18 Nov 2023
Breaking Temporal Consistency: Generating Video Universal Adversarial
  Perturbations Using Image Models
Breaking Temporal Consistency: Generating Video Universal Adversarial Perturbations Using Image Models
Heeseon Kim
Minji Son
Minbeom Kim
Myung-Joon Kwon
Changick Kim
AAML
108
7
0
17 Nov 2023
Towards Improving Robustness Against Common Corruptions using Mixture of
  Class Specific Experts
Towards Improving Robustness Against Common Corruptions using Mixture of Class Specific Experts
Shashank Kotyan
Danilo Vasconcellos Vargas
AAML
42
0
0
16 Nov 2023
Breaking Boundaries: Balancing Performance and Robustness in Deep
  Wireless Traffic Forecasting
Breaking Boundaries: Balancing Performance and Robustness in Deep Wireless Traffic Forecasting
Romain Ilbert
Thai V. Hoang
Zonghua Zhang
Themis Palpanas
OODAAML
84
0
0
16 Nov 2023
Formal Verification of Long Short-Term Memory based Audio Classifiers: A
  Star based Approach
Formal Verification of Long Short-Term Memory based Audio Classifiers: A Star based Approach
Neelanjana Pal
Taylor T. Johnson
55
0
0
16 Nov 2023
Extending Neural Network Verification to a Larger Family of Piece-wise
  Linear Activation Functions
Extending Neural Network Verification to a Larger Family of Piece-wise Linear Activation Functions
László Antal
Hana Masara
Erika Ábrahám
84
0
0
16 Nov 2023
Whispers of Doubt Amidst Echoes of Triumph in NLP Robustness
Whispers of Doubt Amidst Echoes of Triumph in NLP Robustness
Ashim Gupta
Rishanth Rajendhran
Nathan Stringham
Vivek Srikumar
Ana Marasović
AAML
90
3
0
16 Nov 2023
Trustworthy Large Models in Vision: A Survey
Trustworthy Large Models in Vision: A Survey
Ziyan Guo
Li Xu
Jun Liu
MU
138
0
0
16 Nov 2023
Robust Contrastive Learning With Theory Guarantee
Robust Contrastive Learning With Theory Guarantee
Ngoc N. Tran
Lam C. Tran
Hoang Phan
Anh-Vu Bui
Tung Pham
Toan M. Tran
Dinh Q. Phung
Trung Le
SSLNoLa
77
0
0
16 Nov 2023
Beyond Detection: Unveiling Fairness Vulnerabilities in Abusive Language
  Models
Beyond Detection: Unveiling Fairness Vulnerabilities in Abusive Language Models
Yueqing Liang
Lu Cheng
Ali Payani
Kai Shu
71
3
0
15 Nov 2023
Fast Certification of Vision-Language Models Using Incremental
  Randomized Smoothing
Fast Certification of Vision-Language Models Using Incremental Randomized Smoothing
Ashutosh Nirala
Ameya Joshi
Chinmay Hegde
S Sarkar
VLM
89
0
0
15 Nov 2023
Adversarially Robust Spiking Neural Networks Through Conversion
Adversarially Robust Spiking Neural Networks Through Conversion
Ozan Özdenizci
Robert Legenstein
AAML
86
10
0
15 Nov 2023
On The Relationship Between Universal Adversarial Attacks And Sparse
  Representations
On The Relationship Between Universal Adversarial Attacks And Sparse Representations
Dana Weitzner
Raja Giryes
AAML
121
0
0
14 Nov 2023
The Impact of Adversarial Node Placement in Decentralized Federated
  Learning Networks
The Impact of Adversarial Node Placement in Decentralized Federated Learning Networks
Adam Piaseczny
Eric Ruzomberka
Rohit Parasnis
Christopher G. Brinton
FedML
92
0
0
14 Nov 2023
Towards Improving Robustness Against Common Corruptions in Object
  Detectors Using Adversarial Contrastive Learning
Towards Improving Robustness Against Common Corruptions in Object Detectors Using Adversarial Contrastive Learning
Shashank Kotyan
Danilo Vasconcellos Vargas
AAML
52
0
0
14 Nov 2023
Generalization Analogies: A Testbed for Generalizing AI Oversight to
  Hard-To-Measure Domains
Generalization Analogies: A Testbed for Generalizing AI Oversight to Hard-To-Measure Domains
Joshua Clymer
Garrett Baker
Rohan Subramani
Sam Wang
104
6
0
13 Nov 2023
On the Robustness of Neural Collapse and the Neural Collapse of
  Robustness
On the Robustness of Neural Collapse and the Neural Collapse of Robustness
Jingtong Su
Ya Shi Zhang
Nikolaos Tsilivis
Julia Kempe
AAML
68
7
0
13 Nov 2023
Adversarial Purification for Data-Driven Power System Event Classifiers
  with Diffusion Models
Adversarial Purification for Data-Driven Power System Event Classifiers with Diffusion Models
Yuanbin Cheng
Koji Yamashita
Jim Follum
Nanpeng Yu
AAML
112
2
0
13 Nov 2023
Robust Text Classification: Analyzing Prototype-Based Networks
Robust Text Classification: Analyzing Prototype-Based Networks
Zhivar Sourati
D. Deshpande
Filip Ilievski
Kiril Gashteovski
S. Saralajew
OODOffRL
85
2
0
11 Nov 2023
CALLOC: Curriculum Adversarial Learning for Secure and Robust Indoor
  Localization
CALLOC: Curriculum Adversarial Learning for Secure and Robust Indoor Localization
Danish Gufran
S. Pasricha
AAML
69
7
0
10 Nov 2023
1-Lipschitz Neural Networks are more expressive with N-Activations
1-Lipschitz Neural Networks are more expressive with N-Activations
Bernd Prach
Christoph H. Lampert
AAMLFAtt
60
0
0
10 Nov 2023
Learning-Based Biharmonic Augmentation for Point Cloud Classification
Learning-Based Biharmonic Augmentation for Point Cloud Classification
Jiacheng Wei
Guosheng Lin
Henghui Ding
Jie Hu
Kim-Hui Yap
3DPC
81
1
0
10 Nov 2023
Robust Adversarial Attacks Detection for Deep Learning based Relative
  Pose Estimation for Space Rendezvous
Robust Adversarial Attacks Detection for Deep Learning based Relative Pose Estimation for Space Rendezvous
Ziwei Wang
Nabil Aouf
Jose Pizarro
Christophe Honvault
AAML
65
0
0
10 Nov 2023
Honest Score Client Selection Scheme: Preventing Federated Learning
  Label Flipping Attacks in Non-IID Scenarios
Honest Score Client Selection Scheme: Preventing Federated Learning Label Flipping Attacks in Non-IID Scenarios
Yanli Li
Huaming Chen
Wei Bao
Zhengmeng Xu
Dong Yuan
AAML
79
5
0
10 Nov 2023
MPGemmFI: A Fault Injection Technique for Mixed Precision GEMM in ML
  Applications
MPGemmFI: A Fault Injection Technique for Mixed Precision GEMM in ML Applications
Bo Fang
Xinyi Li
Harvey Dam
Cheng Tan
S. Hari
...
Dingwen Tao
Ganesh Gopalakrishnan
Prashant J. Nair
Kevin J. Barker
Ang Li
46
0
0
09 Nov 2023
Embedding Space Interpolation Beyond Mini-Batch, Beyond Pairs and Beyond
  Examples
Embedding Space Interpolation Beyond Mini-Batch, Beyond Pairs and Beyond Examples
Shashanka Venkataramanan
Ewa Kijak
Laurent Amsaleg
Yannis Avrithis
84
4
0
09 Nov 2023
ABIGX: A Unified Framework for eXplainable Fault Detection and
  Classification
ABIGX: A Unified Framework for eXplainable Fault Detection and Classification
Yue Zhuo
Jinchuan Qian
Zhihuan Song
Zhiqiang Ge
39
1
0
09 Nov 2023
SCAAT: Improving Neural Network Interpretability via Saliency
  Constrained Adaptive Adversarial Training
SCAAT: Improving Neural Network Interpretability via Saliency Constrained Adaptive Adversarial Training
Rui Xu
Wenkang Qin
Peixiang Huang
Hao Wang
Lin Luo
FAttAAML
66
3
0
09 Nov 2023
Cross-Silo Federated Learning Across Divergent Domains with Iterative
  Parameter Alignment
Cross-Silo Federated Learning Across Divergent Domains with Iterative Parameter Alignment
Matt Gorbett
Hossein Shirazi
Indrakshi Ray
FedML
87
2
0
08 Nov 2023
DP-DCAN: Differentially Private Deep Contrastive Autoencoder Network for
  Single-cell Clustering
DP-DCAN: Differentially Private Deep Contrastive Autoencoder Network for Single-cell Clustering
Huifa Li
Jie Fu
Zhili Chen
Xiaomin Yang
Haitao Liu
Xinpeng Ling
65
1
0
06 Nov 2023
Successive Model-Agnostic Meta-Learning for Few-Shot Fault Time Series
  Prognosis
Successive Model-Agnostic Meta-Learning for Few-Shot Fault Time Series Prognosis
Hai Su
Jiajun Hu
Songsen Yu
AI4TS
62
2
0
04 Nov 2023
Efficient Black-Box Adversarial Attacks on Neural Text Detectors
Efficient Black-Box Adversarial Attacks on Neural Text Detectors
Vitalii Fishchuk
Daniel Braun
AAMLDeLMO
51
4
0
03 Nov 2023
Universal Perturbation-based Secret Key-Controlled Data Hiding
Universal Perturbation-based Secret Key-Controlled Data Hiding
Donghua Wang
Wenbiao Yao
Tingsong Jiang
Xiaoqian Chen
AAML
116
0
0
03 Nov 2023
Disentangled Representation Learning with Transmitted Information
  Bottleneck
Disentangled Representation Learning with Transmitted Information Bottleneck
Zhuohang Dang
Minnan Luo
Chengyou Jia
Guangwen Dai
Jihong Wang
Xiao Chang
Jingdong Wang
Qinghua Zheng
90
4
0
03 Nov 2023
Adv3D: Generating Safety-Critical 3D Objects through Closed-Loop
  Simulation
Adv3D: Generating Safety-Critical 3D Objects through Closed-Loop Simulation
Jay Sarva
Jingkang Wang
James Tu
Yuwen Xiong
S. Manivasagam
R. Urtasun
126
10
0
02 Nov 2023
Distilling Out-of-Distribution Robustness from Vision-Language
  Foundation Models
Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models
Andy Zhou
Jindong Wang
Yu-Xiong Wang
Haohan Wang
VLM
103
6
0
02 Nov 2023
Improving Robustness via Tilted Exponential Layer: A
  Communication-Theoretic Perspective
Improving Robustness via Tilted Exponential Layer: A Communication-Theoretic Perspective
Bhagyashree Puranik
Ahmad Beirami
Yao Qin
Upamanyu Madhow
AAML
70
0
0
02 Nov 2023
Adversary ML Resilience in Autonomous Driving Through Human Centered
  Perception Mechanisms
Adversary ML Resilience in Autonomous Driving Through Human Centered Perception Mechanisms
Aakriti Shah
AAML
42
0
0
02 Nov 2023
Stochastic Smoothed Gradient Descent Ascent for Federated Minimax
  Optimization
Stochastic Smoothed Gradient Descent Ascent for Federated Minimax Optimization
Wei Shen
Minhui Huang
Jiawei Zhang
Cong Shen
FedML
110
2
0
02 Nov 2023
Adversarial Examples in the Physical World: A Survey
Adversarial Examples in the Physical World: A Survey
Jiakai Wang
Xianglong Liu
Jin Hu
Donghua Wang
Siyang Wu
Tingsong Jiang
Wenbiao Yao
Aishan Liu
Aishan Liu
Jiantao Zhou
AAML
113
4
0
01 Nov 2023
Magmaw: Modality-Agnostic Adversarial Attacks on Machine Learning-Based
  Wireless Communication Systems
Magmaw: Modality-Agnostic Adversarial Attacks on Machine Learning-Based Wireless Communication Systems
Jung-Woo Chang
Ke Sun
Nasimeh Heydaribeni
Seira Hidano
Xinyu Zhang
F. Koushanfar
AAML
87
1
0
01 Nov 2023
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