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Adversarial Examples Are Not Bugs, They Are Features
v1v2v3v4 (latest)

Adversarial Examples Are Not Bugs, They Are Features

Neural Information Processing Systems (NeurIPS), 2019
6 May 2019
Andrew Ilyas
Shibani Santurkar
Dimitris Tsipras
Logan Engstrom
Brandon Tran
Aleksander Madry
    SILM
ArXiv (abs)PDFHTML

Papers citing "Adversarial Examples Are Not Bugs, They Are Features"

50 / 1,093 papers shown
Robust Physical Adversarial Patches Using Dynamically Optimized Clusters
Robust Physical Adversarial Patches Using Dynamically Optimized Clusters
Harrison Bagley
Will Meakin
Simon Lucey
Yee Wei Law
Tat-Jun Chin
AAML
137
0
0
23 Nov 2025
ATAC: Augmentation-Based Test-Time Adversarial Correction for CLIP
ATAC: Augmentation-Based Test-Time Adversarial Correction for CLIP
Linxiang Su
András Balogh
AAML
214
0
0
21 Nov 2025
Learning Fourier shapes to probe the geometric world of deep neural networks
Learning Fourier shapes to probe the geometric world of deep neural networks
Jian Wang
Yixing Yong
Haixia Bi
Lijun He
Fan Li
AAML
228
0
0
07 Nov 2025
Sparse Model Inversion: Efficient Inversion of Vision Transformers for Data-Free Applications
Sparse Model Inversion: Efficient Inversion of Vision Transformers for Data-Free ApplicationsInternational Conference on Machine Learning (ICML), 2025
Zixuan Hu
Yongxian Wei
Li Shen
Zhenyi Wang
Lei Li
Chun Yuan
Dacheng Tao
142
8
0
31 Oct 2025
C-LEAD: Contrastive Learning for Enhanced Adversarial Defense
C-LEAD: Contrastive Learning for Enhanced Adversarial Defense
Suklav Ghosh
Sonal Kumar
Arijit Sur
AAML
155
1
0
31 Oct 2025
ALMGuard: Safety Shortcuts and Where to Find Them as Guardrails for Audio-Language Models
ALMGuard: Safety Shortcuts and Where to Find Them as Guardrails for Audio-Language Models
Weifei Jin
Yuxin Cao
Junjie Su
Minhui Xue
Jie Hao
Ke Xu
Jin Song Dong
Derui Wang
AAML
114
0
0
30 Oct 2025
Bilevel Models for Adversarial Learning and A Case Study
Bilevel Models for Adversarial Learning and A Case Study
Yutong Zheng
Qingna Li
AAML
184
0
0
29 Oct 2025
Aggregation Hides Out-of-Distribution Generalization Failures from Spurious Correlations
Aggregation Hides Out-of-Distribution Generalization Failures from Spurious Correlations
Olawale Salaudeen
Haoran Zhang
Mingyu Lu
Sara Beery
Marzyeh Ghassemi
OODD
353
0
0
28 Oct 2025
FrameShield: Adversarially Robust Video Anomaly Detection
FrameShield: Adversarially Robust Video Anomaly Detection
Mojtaba Nafez
Mobina Poulaei
Nikan Vasei
Bardia Soltani Moakhar
Mohammad Sabokrou
M. Rohban
AAML
173
0
0
24 Oct 2025
Toward Understanding the Transferability of Adversarial Suffixes in Large Language Models
Toward Understanding the Transferability of Adversarial Suffixes in Large Language Models
Sarah Ball
Niki Hasrati
Alexander Robey
Avi Schwarzschild
Frauke Kreuter
Zico Kolter
Andrej Risteski
AAML
297
0
0
24 Oct 2025
Kernel Learning with Adversarial Features: Numerical Efficiency and Adaptive Regularization
Kernel Learning with Adversarial Features: Numerical Efficiency and Adaptive Regularization
Antônio H. Ribeiro
David Vävinggren
Dave Zachariah
Thomas B. Schon
Francis Bach
AAML
134
0
0
23 Oct 2025
Revisiting the Relation Between Robustness and Universality
Revisiting the Relation Between Robustness and Universality
M. Klabunde
L. Caspari
F. Lemmerich
AAML
109
0
0
22 Oct 2025
The Black Tuesday Attack: how to crash the stock market with adversarial examples to financial forecasting models
The Black Tuesday Attack: how to crash the stock market with adversarial examples to financial forecasting models
Thomas Hofweber
Jefrey Bergl
Ian Reyes
Amir Sadovnik
AAMLAIFin
150
0
0
21 Oct 2025
A Versatile Framework for Designing Group-Sparse Adversarial Attacks
A Versatile Framework for Designing Group-Sparse Adversarial Attacks
Alireza Heshmati
Saman Soleimani Roudi
Sajjad Amini
Shahrokh Ghaemmaghami
Farokh Marvasti
AAML
147
0
0
18 Oct 2025
Adversarial Attacks Leverage Interference Between Features in Superposition
Adversarial Attacks Leverage Interference Between Features in Superposition
Edward Stevinson
Lucas Prieto
Melih Barsbey
Tolga Birdal
AAML
110
0
0
13 Oct 2025
The Easy Path to Robustness: Coreset Selection using Sample Hardness
The Easy Path to Robustness: Coreset Selection using Sample Hardness
Pranav Ramesh
Arjun Roy
Deepak Ravikumar
Kaushik Roy
Gopalakrishnan Srinivasan
141
0
0
13 Oct 2025
A geometrical approach to solve the proximity of a point to an axisymmetric quadric in space
A geometrical approach to solve the proximity of a point to an axisymmetric quadric in space
Bibekananda Patra
Aditya Mahesh Kolte
Sandipan Bandyopadhyay
122
11
0
10 Oct 2025
Machine Unlearning in Speech Emotion Recognition via Forget Set Alone
Machine Unlearning in Speech Emotion Recognition via Forget Set Alone
Zhao Ren
Rathi Adarshi Rammohan
Kevin Scheck
Tanja Schultz
MU
160
0
0
05 Oct 2025
The Artificial Intelligence Cognitive Examination: A Survey on the Evolution of Multimodal Evaluation from Recognition to Reasoning
The Artificial Intelligence Cognitive Examination: A Survey on the Evolution of Multimodal Evaluation from Recognition to Reasoning
Mayank Ravishankara
Varindra V. Persad Maharaj
ELM
202
1
0
05 Oct 2025
Zero-Shot Robustness of Vision Language Models Via Confidence-Aware Weighting
Zero-Shot Robustness of Vision Language Models Via Confidence-Aware Weighting
Nikoo Naghavian
Mostafa Tavassolipour
AAMLVLM
139
0
0
03 Oct 2025
SPATA: Systematic Pattern Analysis for Detailed and Transparent Data Cards
SPATA: Systematic Pattern Analysis for Detailed and Transparent Data Cards
João Vitorino
Eva Maia
Isabel Praça
Carlos Soares
112
0
0
30 Sep 2025
Targeted perturbations reveal brain-like local coding axes in robustified, but not standard, ANN-based brain models
Targeted perturbations reveal brain-like local coding axes in robustified, but not standard, ANN-based brain models
Nikolas McNeal
N. Apurva Ratan Murty
AAML
116
0
0
27 Sep 2025
Sparse Representations Improve Adversarial Robustness of Neural Network Classifiers
Sparse Representations Improve Adversarial Robustness of Neural Network Classifiers
Killian Steunou
Théo Druilhe
Sigurd Saue
AAML
168
0
0
25 Sep 2025
Data coarse graining can improve model performance
Data coarse graining can improve model performance
Alex Nguyen
D. Schwab
Vudtiwat Ngampruetikorn
90
0
0
18 Sep 2025
A Modern Look at Simplicity Bias in Image Classification Tasks
A Modern Look at Simplicity Bias in Image Classification Tasks
Xiaoguang Chang
Teng Wang
Changyin Sun
AAML
139
0
0
13 Sep 2025
A Discrepancy-Based Perspective on Dataset Condensation
A Discrepancy-Based Perspective on Dataset Condensation
Tong Chen
Raghavendra Selvan
DD
270
0
0
12 Sep 2025
Does simple trump complex? Comparing strategies for adversarial robustness in DNNs
Does simple trump complex? Comparing strategies for adversarial robustness in DNNs
William Brooks
Marelie Hattingh Davel
Coenraad Mouton
AAML
73
0
0
25 Aug 2025
Robustness Feature Adapter for Efficient Adversarial Training
Robustness Feature Adapter for Efficient Adversarial Training
Quanwei Wu
Jun Guo
Wei Wang
Yi Alice Wang
AAML
91
0
0
25 Aug 2025
Adversarial Examples Are Not Bugs, They Are Superposition
Adversarial Examples Are Not Bugs, They Are Superposition
Liv Gorton
Owen Lewis
AAML
201
3
0
24 Aug 2025
TriQDef: Disrupting Semantic and Gradient Alignment to Prevent Adversarial Patch Transferability in Quantized Neural Networks
TriQDef: Disrupting Semantic and Gradient Alignment to Prevent Adversarial Patch Transferability in Quantized Neural Networks
Amira Guesmi
B. Ouni
Muhammad Shafique
AAMLMQ
83
0
0
16 Aug 2025
Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation
Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation
Huizhen Shu
Xuying Li
Qirui Wang
Yuji Kosuga
Mengqiu Tian
Zhuo Li
AAMLSILM
186
0
0
14 Aug 2025
EFU: Enforcing Federated Unlearning via Functional Encryption
EFU: Enforcing Federated Unlearning via Functional Encryption
Samaneh Mohammadi
Vasileios Tsouvalas
Iraklis Symeonidis
Ali Balador
T. Ozcelebi
Francesco Flammini
N. Meratnia
MU
222
0
0
11 Aug 2025
Training and Inference within 1 Second -- Tackle Cross-Sensor Degradation of Real-World Pansharpening with Efficient Residual Feature Tailoring
Training and Inference within 1 Second -- Tackle Cross-Sensor Degradation of Real-World Pansharpening with Efficient Residual Feature Tailoring
Tianyu Xin
Jin-Liang Xiao
Zeyu Xia
Shan Yin
Liang-Jian Deng
140
1
0
10 Aug 2025
ETA: Energy-based Test-time Adaptation for Depth Completion
ETA: Energy-based Test-time Adaptation for Depth Completion
Younjoon Chung
Hyoungseob Park
Patrick Rim
Xiaoran Zhang
Jihe He
Ziyao Zeng
Safa Cicek
Byung-Woo Hong
James S. Duncan
Alex Wong
TTA
351
2
0
08 Aug 2025
Keep It Real: Challenges in Attacking Compression-Based Adversarial Purification
Keep It Real: Challenges in Attacking Compression-Based Adversarial Purification
Samuel Räber
Till Aczél
Andreas Plesner
Roger Wattenhofer
DiffMAAML
261
0
0
07 Aug 2025
Data Driven Insights into Composition Property Relationships in FCC High Entropy Alloys
Data Driven Insights into Composition Property Relationships in FCC High Entropy Alloys
Nicolas Flores
Daniel Salas Mula
Wenle Xu
Sahu Bibhu
Daniel Lewis
...
D. Allaire
Ibrahim Karaman
Brady Butler
V. Attari
Raymundo Arroyave
131
0
0
06 Aug 2025
The Power of Many: Synergistic Unification of Diverse Augmentations for Efficient Adversarial Robustness
The Power of Many: Synergistic Unification of Diverse Augmentations for Efficient Adversarial Robustness
Wang Yu-Hang
Shiwei Li
Jianxiang Liao
Li Bohan
Jian Liu
Wenfei Yin
AAML
252
0
0
05 Aug 2025
Are Inherently Interpretable Models More Robust? A Study In Music Emotion Recognition
Are Inherently Interpretable Models More Robust? A Study In Music Emotion Recognition
Katharina Hoedt
A. Flexer
Gerhard Widmer
AAMLOOD
113
0
0
05 Aug 2025
LeakyCLIP: Extracting Training Data from CLIP
LeakyCLIP: Extracting Training Data from CLIP
Yunhao Chen
S. Wang
Xin Wang
Jiabo He
314
0
0
01 Aug 2025
AUV-Fusion: Cross-Modal Adversarial Fusion of User Interactions and Visual Perturbations Against VARS
AUV-Fusion: Cross-Modal Adversarial Fusion of User Interactions and Visual Perturbations Against VARS
Hai Ling
Tianchi Wang
Xiaohao Liu
Zhulin Tao
Lifang Yang
Xianglin Huang
AAML
183
0
0
30 Jul 2025
On the Reliability of Vision-Language Models Under Adversarial Frequency-Domain Perturbations
On the Reliability of Vision-Language Models Under Adversarial Frequency-Domain Perturbations
Jordan Vice
Naveed Akhtar
Yansong Gao
Richard Hartley
Ajmal Mian
AAML
210
2
0
30 Jul 2025
Radio Adversarial Attacks on EMG-based Gesture Recognition Networks
Radio Adversarial Attacks on EMG-based Gesture Recognition Networks
Hongyi Xie
AAML
80
0
0
28 Jul 2025
On the Interaction of Compressibility and Adversarial Robustness
On the Interaction of Compressibility and Adversarial Robustness
Melih Barsbey
Antônio H. Ribeiro
Umut Simsekli
Tolga Birdal
AAML
237
2
0
23 Jul 2025
The Endless Tuning. An Artificial Intelligence Design To Avoid Human Replacement and Trace Back Responsibilities
The Endless Tuning. An Artificial Intelligence Design To Avoid Human Replacement and Trace Back Responsibilities
Elio Grande
175
0
0
20 Jul 2025
Subliminal Learning: Language models transmit behavioral traits via hidden signals in data
Subliminal Learning: Language models transmit behavioral traits via hidden signals in data
Alex Cloud
Minh Le
James Chua
Jan Betley
Anna Sztyber-Betley
Jacob Hilton
Samuel Marks
Owain Evans
185
28
0
20 Jul 2025
Emergence of Quantised Representations Isolated to Anisotropic Functions
Emergence of Quantised Representations Isolated to Anisotropic Functions
George Bird
154
1
0
16 Jul 2025
Fragile, Robust, and Antifragile: A Perspective from Parameter Responses in Reinforcement Learning Under Stress
Fragile, Robust, and Antifragile: A Perspective from Parameter Responses in Reinforcement Learning Under Stress
Z. Abdeen
Ming Jin
137
0
0
28 Jun 2025
A Survey of LLM-Driven AI Agent Communication: Protocols, Security Risks, and Defense Countermeasures
A Survey of LLM-Driven AI Agent Communication: Protocols, Security Risks, and Defense Countermeasures
Dezhang Kong
Shi Lin
Zhenhua Xu
Z. J. Wang
Minghao Li
...
Ningyu Zhang
Chaochao Chen
Chunming Wu
Muhammad Khurram Khan
Meng Han
LLMAG
342
27
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PASS: Private Attributes Protection with Stochastic Data Substitution
PASS: Private Attributes Protection with Stochastic Data Substitution
Yizhuo Chen
Chun-Fu
Chen
Hsiang Hsu
Shaohan Hu
Tarek Abdelzaher
312
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SDN-Based False Data Detection With Its Mitigation and Machine Learning Robustness for In-Vehicle Networks
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Long Dang
T. Hapuarachchi
Kaiqi Xiong
Yi Li
AAML
146
0
0
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