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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 / 8,397 papers shown
Title
AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples
AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples
Antonio Emanuele Cinà
Jérôme Rony
Maura Pintor
Christian Scano
Ambra Demontis
Battista Biggio
Ismail Ben Ayed
Fabio Roli
ELMAAMLSILM
145
10
0
30 Apr 2024
Compositional Factorization of Visual Scenes with Convolutional Sparse
  Coding and Resonator Networks
Compositional Factorization of Visual Scenes with Convolutional Sparse Coding and Resonator Networks
Christopher J. Kymn
Sonia Mazelet
Annabel Ng
Denis Kleyko
Bruno A. Olshausen
74
5
0
29 Apr 2024
Harmonic Machine Learning Models are Robust
Harmonic Machine Learning Models are Robust
Nicholas S. Kersting
Yi Li
Aman Mohanty
Oyindamola Obisesan
Raphael Okochu
AAML
89
1
0
29 Apr 2024
Certification of Speaker Recognition Models to Additive Perturbations
Certification of Speaker Recognition Models to Additive Perturbations
Dmitrii Korzh
Elvir Karimov
Mikhail Aleksandrovich Pautov
Oleg Y. Rogov
Ivan Oseledets
89
3
0
29 Apr 2024
Saliency Suppressed, Semantics Surfaced: Visual Transformations in
  Neural Networks and the Brain
Saliency Suppressed, Semantics Surfaced: Visual Transformations in Neural Networks and the Brain
Gustaw Opielka
Jessica Loke
Steven Scholte
59
0
0
29 Apr 2024
Why You Should Not Trust Interpretations in Machine Learning:
  Adversarial Attacks on Partial Dependence Plots
Why You Should Not Trust Interpretations in Machine Learning: Adversarial Attacks on Partial Dependence Plots
Xi Xin
Giles Hooker
Fei Huang
AAML
81
7
0
29 Apr 2024
Machine Learning for Windows Malware Detection and Classification:
  Methods, Challenges and Ongoing Research
Machine Learning for Windows Malware Detection and Classification: Methods, Challenges and Ongoing Research
Daniel Gibert
AAML
81
1
0
29 Apr 2024
A robust and scalable framework for hallucination detection in virtual tissue staining and digital pathology
A robust and scalable framework for hallucination detection in virtual tissue staining and digital pathology
Luzhe Huang
Yuzhu Li
N. Pillar
Tal Keidar Haran
W. D. Wallace
Aydogan Ozcan
76
0
0
29 Apr 2024
SAFE-RL: Saliency-Aware Counterfactual Explainer for Deep Reinforcement
  Learning Policies
SAFE-RL: Saliency-Aware Counterfactual Explainer for Deep Reinforcement Learning Policies
Amir Samadi
K. Koufos
Kurt Debattista
M. Dianati
85
5
0
28 Apr 2024
Out-of-distribution Detection in Medical Image Analysis: A survey
Out-of-distribution Detection in Medical Image Analysis: A survey
Zesheng Hong
Yubiao Yue
Yubin Chen
Lele Cong
Huanjie Lin
...
Jialong Xu
Xiaoqi Yang
Hechang Chen
Zhenzhang Li
Sihong Xie
OOD
105
7
0
28 Apr 2024
Exploring the Robustness of In-Context Learning with Noisy Labels
Exploring the Robustness of In-Context Learning with Noisy Labels
Chen Cheng
Xinzhi Yu
Haodong Wen
Jinsong Sun
Guanzhang Yue
Yihao Zhang
Zeming Wei
NoLa
71
8
0
28 Apr 2024
Cauchy-Schwarz Divergence Information Bottleneck for Regression
Cauchy-Schwarz Divergence Information Bottleneck for Regression
Shujian Yu
Xi Yu
Sigurd Løkse
Robert Jenssen
José C. Príncipe
UQCV
88
5
0
27 Apr 2024
Bounding the Expected Robustness of Graph Neural Networks Subject to
  Node Feature Attacks
Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacks
Yassine Abbahaddou
Sofiane Ennadir
J. Lutzeyer
Michalis Vazirgiannis
Henrik Bostrom
AAMLOOD
93
7
0
27 Apr 2024
Attacking Bayes: On the Adversarial Robustness of Bayesian Neural
  Networks
Attacking Bayes: On the Adversarial Robustness of Bayesian Neural Networks
Yunzhen Feng
Tim G. J. Rudner
Nikolaos Tsilivis
Julia Kempe
AAMLBDL
138
2
0
27 Apr 2024
Talking Nonsense: Probing Large Language Models' Understanding of
  Adversarial Gibberish Inputs
Talking Nonsense: Probing Large Language Models' Understanding of Adversarial Gibberish Inputs
Valeriia Cherepanova
James Zou
AAML
102
6
0
26 Apr 2024
Generating Minimalist Adversarial Perturbations to Test Object-Detection
  Models: An Adaptive Multi-Metric Evolutionary Search Approach
Generating Minimalist Adversarial Perturbations to Test Object-Detection Models: An Adaptive Multi-Metric Evolutionary Search Approach
Cristopher McIntyre-Garcia
Adrien Heymans
Beril Borali
Won-Sook Lee
Shiva Nejati
AAML
40
0
0
25 Apr 2024
Energy-Latency Manipulation of Multi-modal Large Language Models via
  Verbose Samples
Energy-Latency Manipulation of Multi-modal Large Language Models via Verbose Samples
Kuofeng Gao
Jindong Gu
Yang Bai
Shu-Tao Xia
Philip Torr
Wei Liu
Zhifeng Li
132
13
0
25 Apr 2024
Surprisingly Strong Performance Prediction with Neural Graph Features
Surprisingly Strong Performance Prediction with Neural Graph Features
Gabriela Kadlecová
Jovita Lukasik
Martin Pilát
Petra Vidnerová
Mahmoud Safari
Roman Neruda
Frank Hutter
GNNOOD
114
2
0
25 Apr 2024
Towards Precise Observations of Neural Model Robustness in
  Classification
Towards Precise Observations of Neural Model Robustness in Classification
Wenchuan Mu
Kwan Hui Lim
AAML
52
0
0
25 Apr 2024
Constructing Optimal Noise Channels for Enhanced Robustness in Quantum
  Machine Learning
Constructing Optimal Noise Channels for Enhanced Robustness in Quantum Machine Learning
David Winderl
Nicola Franco
J. M. Lorenz
AAML
69
3
0
25 Apr 2024
Offline Reinforcement Learning with Behavioral Supervisor Tuning
Offline Reinforcement Learning with Behavioral Supervisor Tuning
Padmanaba Srinivasan
William J. Knottenbelt
OffRL
67
2
0
25 Apr 2024
Don't Say No: Jailbreaking LLM by Suppressing Refusal
Don't Say No: Jailbreaking LLM by Suppressing Refusal
Yukai Zhou
Jian Lou
Zhijie Huang
Zhan Qin
Yibei Yang
Wenjie Wang
AAML
116
19
0
25 Apr 2024
An Analysis of Recent Advances in Deepfake Image Detection in an
  Evolving Threat Landscape
An Analysis of Recent Advances in Deepfake Image Detection in an Evolving Threat Landscape
Sifat Muhammad Abdullah
Aravind Cheruvu
Shravya Kanchi
Taejoong Chung
Peng Gao
Murtuza Jadliwala
Bimal Viswanath
AAML
99
18
0
24 Apr 2024
Unexplored Faces of Robustness and Out-of-Distribution: Covariate Shifts
  in Environment and Sensor Domains
Unexplored Faces of Robustness and Out-of-Distribution: Covariate Shifts in Environment and Sensor Domains
Eunsu Baek
Keondo Park
Jiyoon Kim
Hyung-Sin Kim
OODDOOD
122
6
0
24 Apr 2024
An Empirical Study of Aegis
An Empirical Study of Aegis
Daniel Saragih
Paridhi Goel
Tejas Balaji
Alyssa Li
AAML
31
0
0
24 Apr 2024
MISLEAD: Manipulating Importance of Selected features for Learning
  Epsilon in Evasion Attack Deception
MISLEAD: Manipulating Importance of Selected features for Learning Epsilon in Evasion Attack Deception
Vidit Khazanchi
Pavan Kulkarni
Yuvaraj Govindarajulu
Manojkumar Somabhai Parmar
AAML
72
1
0
24 Apr 2024
Perturbing Attention Gives You More Bang for the Buck: Subtle Imaging
  Perturbations That Efficiently Fool Customized Diffusion Models
Perturbing Attention Gives You More Bang for the Buck: Subtle Imaging Perturbations That Efficiently Fool Customized Diffusion Models
Jingyao Xu
Yuetong Lu
Yandong Li
Siyang Lu
Dongdong Wang
Xiang Wei
AAMLDiffM
77
11
0
23 Apr 2024
Formal Verification of Graph Convolutional Networks with Uncertain Node Features and Uncertain Graph Structure
Formal Verification of Graph Convolutional Networks with Uncertain Node Features and Uncertain Graph Structure
Tobias Ladner
Michael Eichelbeck
Matthias Althoff
GNN
240
0
0
23 Apr 2024
A mean curvature flow arising in adversarial training
A mean curvature flow arising in adversarial training
Leon Bungert
Tim Laux
Kerrek Stinson
AAML
69
4
0
22 Apr 2024
Ungeneralizable Examples
Ungeneralizable Examples
Jing Ye
Xinchao Wang
99
6
0
22 Apr 2024
U Can't Gen This? A Survey of Intellectual Property Protection Methods
  for Data in Generative AI
U Can't Gen This? A Survey of Intellectual Property Protection Methods for Data in Generative AI
Tanja Sarcevic
Alicja Karlowicz
Rudolf Mayer
Ricardo A. Baeza-Yates
Andreas Rauber
103
7
0
22 Apr 2024
Explicit Lipschitz Value Estimation Enhances Policy Robustness Against
  Perturbation
Explicit Lipschitz Value Estimation Enhances Policy Robustness Against Perturbation
Xulin Chen
Ruipeng Liu
Garret E. Katz
76
0
0
22 Apr 2024
A Survey on Speech Deepfake Detection
A Survey on Speech Deepfake Detection
Menglu Li
Yasaman Ahmadiadli
Xiao-Ping Zhang
106
25
0
22 Apr 2024
Fermi-Bose Machine achieves both generalization and adversarial
  robustness
Fermi-Bose Machine achieves both generalization and adversarial robustness
Mingshan Xie
Yuchen Wang
Haiping Huang
AAML
60
0
0
21 Apr 2024
Robust EEG-based Emotion Recognition Using an Inception and Two-sided
  Perturbation Model
Robust EEG-based Emotion Recognition Using an Inception and Two-sided Perturbation Model
Shadi Sartipi
Müjdat Çetin
43
0
0
21 Apr 2024
Pixel is a Barrier: Diffusion Models Are More Adversarially Robust Than
  We Think
Pixel is a Barrier: Diffusion Models Are More Adversarially Robust Than We Think
Haotian Xue
Yongxin Chen
DiffMAAML
113
4
0
20 Apr 2024
Beyond Score Changes: Adversarial Attack on No-Reference Image Quality
  Assessment from Two Perspectives
Beyond Score Changes: Adversarial Attack on No-Reference Image Quality Assessment from Two Perspectives
Chenxi Yang
Yujia Liu
Dingquan Li
Yan Zhong
Tingting Jiang
92
3
0
20 Apr 2024
RedactBuster: Entity Type Recognition from Redacted Documents
RedactBuster: Entity Type Recognition from Redacted Documents
Mirco Beltrame
Mauro Conti
Pierpaolo Guglielmin
Francesco Marchiori
Gabriele Orazi
69
0
0
19 Apr 2024
AED-PADA:Improving Generalizability of Adversarial Example Detection via
  Principal Adversarial Domain Adaptation
AED-PADA:Improving Generalizability of Adversarial Example Detection via Principal Adversarial Domain Adaptation
Heqi Peng
Yun-an Wang
Ruijie Yang
Beichen Li
Rui Wang
Yuanfang Guo
AAML
76
1
0
19 Apr 2024
Proteus: Preserving Model Confidentiality during Graph Optimizations
Proteus: Preserving Model Confidentiality during Graph Optimizations
Yubo Gao
Maryam Haghifam
Christina Giannoula
Renbo Tu
Gennady Pekhimenko
Nandita Vijaykumar
AAML
130
1
0
18 Apr 2024
Fortify the Guardian, Not the Treasure: Resilient Adversarial Detectors
Fortify the Guardian, Not the Treasure: Resilient Adversarial Detectors
Raz Lapid
Almog Dubin
Moshe Sipper
AAML
68
4
0
18 Apr 2024
Utilizing Adversarial Examples for Bias Mitigation and Accuracy
  Enhancement
Utilizing Adversarial Examples for Bias Mitigation and Accuracy Enhancement
Pushkar Shukla
Dhruv Srikanth
Lee Cohen
Matthew Turk
AAML
73
0
0
18 Apr 2024
Global Counterfactual Directions
Global Counterfactual Directions
Bartlomiej Sobieski
P. Biecek
DiffM
152
7
0
18 Apr 2024
Exploring DNN Robustness Against Adversarial Attacks Using Approximate
  Multipliers
Exploring DNN Robustness Against Adversarial Attacks Using Approximate Multipliers
Mohammad Javad Askarizadeh
Ebrahim Farahmand
Jorge Castro-Godínez
A. Mahani
Laura Cabrera-Quiros
C. Salazar-García
AAML
74
0
0
17 Apr 2024
Factorized Diffusion: Perceptual Illusions by Noise Decomposition
Factorized Diffusion: Perceptual Illusions by Noise Decomposition
Daniel Geng
Inbum Park
Andrew Owens
DiffM
161
16
0
17 Apr 2024
GenFighter: A Generative and Evolutive Textual Attack Removal
GenFighter: A Generative and Evolutive Textual Attack Removal
Md Athikul Islam
Edoardo Serra
Sushil Jajodia
AAML
45
0
0
17 Apr 2024
Criteria for Uncertainty-based Corner Cases Detection in Instance
  Segmentation
Criteria for Uncertainty-based Corner Cases Detection in Instance Segmentation
Florian Heidecker
A. El-khateeb
Maarten Bieshaar
Bernhard Sick
87
0
0
17 Apr 2024
Do Counterfactual Examples Complicate Adversarial Training?
Do Counterfactual Examples Complicate Adversarial Training?
Eric C. Yeats
Cameron Darwin
Eduardo Ortega
Frank Liu
Hai Li
DiffM
137
0
0
16 Apr 2024
Adversarial Identity Injection for Semantic Face Image Synthesis
Adversarial Identity Injection for Semantic Face Image Synthesis
Giuseppe Tarollo
Tomaso Fontanini
Claudio Ferrari
Guido Borghi
Andrea Prati
CVBMGAN
105
3
0
16 Apr 2024
Towards a Novel Perspective on Adversarial Examples Driven by Frequency
Towards a Novel Perspective on Adversarial Examples Driven by Frequency
Zhun Zhang
Yi Zeng
Qihe Liu
Shijie Zhou
AAML
62
0
0
16 Apr 2024
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