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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
Adversarial Attacks on Hidden Tasks in Multi-Task Learning
Adversarial Attacks on Hidden Tasks in Multi-Task Learning
Yu Zhe
Rei Nagaike
Daiki Nishiyama
Kazuto Fukuchi
Jun Sakuma
AAML
331
1
0
24 May 2024
What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence
  Functions
What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions
Sang Keun Choe
Hwijeen Ahn
Juhan Bae
Kewen Zhao
Minsoo Kang
...
Teruko Mitamura
Jeff Schneider
Eduard Hovy
Roger C. Grosse
Eric Xing
TDI
258
71
0
22 May 2024
Adversarially Diversified Rehearsal Memory (ADRM): Mitigating Memory
  Overfitting Challenge in Continual Learning
Adversarially Diversified Rehearsal Memory (ADRM): Mitigating Memory Overfitting Challenge in Continual Learning
Hikmat Khan
Ghulam Rasool
N. Bouaynaya
AAML
234
1
0
20 May 2024
Properties that allow or prohibit transferability of adversarial attacks
  among quantized networks
Properties that allow or prohibit transferability of adversarial attacks among quantized networksInternational Conference/Workshop on Automation of Software Test (ICAST), 2024
Abhishek Shrestha
Jürgen Grossmann
AAML
146
0
0
15 May 2024
Evaluating Adversarial Robustness in the Spatial Frequency Domain
Evaluating Adversarial Robustness in the Spatial Frequency Domain
Keng-Hsin Liao
Chin-Yuan Yeh
Hsi-Wen Chen
Ming-Syan Chen
223
0
0
10 May 2024
Distilling Diffusion Models into Conditional GANs
Distilling Diffusion Models into Conditional GANsEuropean Conference on Computer Vision (ECCV), 2024
Minguk Kang
Richard Zhang
Connelly Barnes
Sylvain Paris
Suha Kwak
Jaesik Park
Eli Shechtman
Jun-Yan Zhu
Taesung Park
792
75
0
09 May 2024
Poisoning-based Backdoor Attacks for Arbitrary Target Label with
  Positive Triggers
Poisoning-based Backdoor Attacks for Arbitrary Target Label with Positive TriggersInternational Joint Conference on Artificial Intelligence (IJCAI), 2024
Binxiao Huang
Jason Chun Lok Li
Chang Liu
Ngai Wong
AAML
305
2
0
09 May 2024
Causal Perception Inspired Representation Learning for Trustworthy Image
  Quality Assessment
Causal Perception Inspired Representation Learning for Trustworthy Image Quality Assessment
Lei Wang
Desen Yuan
AAMLOOD
192
1
0
30 Apr 2024
Are Watermarks Bugs for Deepfake Detectors? Rethinking Proactive
  Forensics
Are Watermarks Bugs for Deepfake Detectors? Rethinking Proactive Forensics
Xiaoshuai Wu
Xin Liao
Bo Ou
Yuling Liu
Zheng Qin
WIGM
264
20
0
27 Apr 2024
Adversarial Examples: Generation Proposal in the Context of Facial
  Recognition Systems
Adversarial Examples: Generation Proposal in the Context of Facial Recognition Systems
Marina Fuster
Ignacio Vidaurreta
AAMLGANCVBM
158
0
0
27 Apr 2024
A Comparative Analysis of Adversarial Robustness for Quantum and
  Classical Machine Learning Models
A Comparative Analysis of Adversarial Robustness for Quantum and Classical Machine Learning Models
Maximilian Wendlinger
Kilian Tscharke
Pascal Debus
AAML
198
16
0
24 Apr 2024
Brain-Inspired Continual Learning-Robust Feature Distillation and
  Re-Consolidation for Class Incremental Learning
Brain-Inspired Continual Learning-Robust Feature Distillation and Re-Consolidation for Class Incremental Learning
Hikmat Khan
N. Bouaynaya
Ghulam Rasool
CLL
267
1
0
22 Apr 2024
Mechanistic Interpretability for AI Safety -- A Review
Mechanistic Interpretability for AI Safety -- A Review
Leonard Bereska
E. Gavves
AI4CE
339
301
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
188
1
0
21 Apr 2024
Reliable Model Watermarking: Defending Against Theft without
  Compromising on Evasion
Reliable Model Watermarking: Defending Against Theft without Compromising on Evasion
Markus Frey
Sichu Liang
Wentao Hu
Matthias Nau
Ju Jia
Shilin Wang
AAML
298
11
0
21 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
368
1
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
237
3
0
16 Apr 2024
Persistent Classification: A New Approach to Stability of Data and
  Adversarial Examples
Persistent Classification: A New Approach to Stability of Data and Adversarial Examples
Brian Bell
Michael Geyer
David Glickenstein
Keaton Hamm
C. Scheidegger
Amanda S. Fernandez
Juston Moore
AAML
227
2
0
11 Apr 2024
Can Biases in ImageNet Models Explain Generalization?
Can Biases in ImageNet Models Explain Generalization?Computer Vision and Pattern Recognition (CVPR), 2024
Paul Gavrikov
J. Keuper
OODVLM
221
28
0
01 Apr 2024
Machine Learning Robustness: A Primer
Machine Learning Robustness: A Primer
Houssem Ben Braiek
Foutse Khomh
AAMLOOD
472
21
0
01 Apr 2024
DataCook: Crafting Anti-Adversarial Examples for Healthcare Data
  Copyright Protection
DataCook: Crafting Anti-Adversarial Examples for Healthcare Data Copyright Protection
Sihan Shang
Jiancheng Yang
Zhenglong Sun
Pascal Fua
241
0
0
26 Mar 2024
The Anatomy of Adversarial Attacks: Concept-based XAI Dissection
The Anatomy of Adversarial Attacks: Concept-based XAI Dissection
Georgii Mikriukov
Gesina Schwalbe
Franz Motzkus
Korinna Bade
AAML
240
1
0
25 Mar 2024
Subspace Defense: Discarding Adversarial Perturbations by Learning a
  Subspace for Clean Signals
Subspace Defense: Discarding Adversarial Perturbations by Learning a Subspace for Clean Signals
Rui Zheng
Yuhao Zhou
Zhiheng Xi
Tao Gui
Tao Gui
Xuanjing Huang
AAML
221
2
0
24 Mar 2024
Reversible Jump Attack to Textual Classifiers with Modification
  Reduction
Reversible Jump Attack to Textual Classifiers with Modification Reduction
Mingze Ni
Zhensu Sun
Wei Liu
AAML
169
0
0
21 Mar 2024
DD-RobustBench: An Adversarial Robustness Benchmark for Dataset
  Distillation
DD-RobustBench: An Adversarial Robustness Benchmark for Dataset Distillation
Yifan Wu
Jiawei Du
Ping Liu
Yuewei Lin
Wenqing Cheng
Wei Xu
DDAAML
313
8
0
20 Mar 2024
As Firm As Their Foundations: Can open-sourced foundation models be used
  to create adversarial examples for downstream tasks?
As Firm As Their Foundations: Can open-sourced foundation models be used to create adversarial examples for downstream tasks?
Anjun Hu
Jindong Gu
Francesco Pinto
Konstantinos Kamnitsas
Juil Sock
AAMLSILM
261
9
0
19 Mar 2024
Investigating the Benefits of Projection Head for Representation
  Learning
Investigating the Benefits of Projection Head for Representation LearningInternational Conference on Learning Representations (ICLR), 2024
Yihao Xue
Eric Gan
Jiayi Ni
Siddharth Joshi
Baharan Mirzasoleiman
269
20
0
18 Mar 2024
Towards White Box Deep Learning
Towards White Box Deep Learning
Maciej Satkiewicz
AAML
493
1
0
14 Mar 2024
Defending Against Unforeseen Failure Modes with Latent Adversarial Training
Defending Against Unforeseen Failure Modes with Latent Adversarial Training
Stephen Casper
Lennart Schulze
Oam Patel
Dylan Hadfield-Menell
AAML
723
59
0
08 Mar 2024
Best of Both Worlds: A Pliable and Generalizable Neuro-Symbolic Approach
  for Relation Classification
Best of Both Worlds: A Pliable and Generalizable Neuro-Symbolic Approach for Relation Classification
Robert Vacareanu
F. Alam
M. Islam
Haris Riaz
Mihai Surdeanu
NAI
207
6
0
05 Mar 2024
How to Train your Antivirus: RL-based Hardening through the
  Problem-Space
How to Train your Antivirus: RL-based Hardening through the Problem-Space
Jacopo Cortellazzi
Ilias Tsingenopoulos
B. Bosanský
Simone Aonzo
Davy Preuveneers
Wouter Joosen
Fabio Pierazzi
Lorenzo Cavallaro
219
4
0
29 Feb 2024
On the Challenges and Opportunities in Generative AI
On the Challenges and Opportunities in Generative AI
Laura Manduchi
Kushagra Pandey
Kushagra Pandey
Robert Bamler
Sina Daubener
...
Yixin Wang
F. Wenzel
Frank Wood
Stephan Mandt
Vincent Fortuin
762
40
0
28 Feb 2024
Adversarial Math Word Problem Generation
Adversarial Math Word Problem Generation
Roy Xie
Chengxuan Huang
Junlin Wang
Bhuwan Dhingra
AAML
314
4
0
27 Feb 2024
Adversarial Perturbations of Physical Signals
Adversarial Perturbations of Physical Signals
Robert L. Bassett
Austin Van Dellen
Anthony P. Austin
AAML
79
1
0
27 Feb 2024
On the (In)feasibility of ML Backdoor Detection as an Hypothesis Testing
  Problem
On the (In)feasibility of ML Backdoor Detection as an Hypothesis Testing Problem
Georg Pichler
Marco Romanelli
Divya Prakash Manivannan
Prashanth Krishnamurthy
Farshad Khorrami
Siddharth Garg
148
4
0
26 Feb 2024
RoCoIns: Enhancing Robustness of Large Language Models through
  Code-Style Instructions
RoCoIns: Enhancing Robustness of Large Language Models through Code-Style Instructions
Yuan Zhang
Xiao Wang
Zhiheng Xi
Han Xia
Tao Gui
Tao Gui
Xuanjing Huang
198
6
0
26 Feb 2024
HypoTermQA: Hypothetical Terms Dataset for Benchmarking Hallucination
  Tendency of LLMs
HypoTermQA: Hypothetical Terms Dataset for Benchmarking Hallucination Tendency of LLMs
Cem Uluoglakci
T. Taşkaya-Temizel
HILM
170
4
0
25 Feb 2024
Deep Networks Always Grok and Here is Why
Deep Networks Always Grok and Here is Why
Ahmed Imtiaz Humayun
Randall Balestriero
Richard Baraniuk
AAMLOODAI4CE
432
44
0
23 Feb 2024
On the Duality Between Sharpness-Aware Minimization and Adversarial
  Training
On the Duality Between Sharpness-Aware Minimization and Adversarial Training
Yihao Zhang
Hangzhou He
Jingyu Zhu
Huanran Chen
Yifei Wang
Zeming Wei
AAML
390
24
0
23 Feb 2024
Robustness of Deep Neural Networks for Micro-Doppler Radar
  Classification
Robustness of Deep Neural Networks for Micro-Doppler Radar Classification
Mikolaj Czerkawski
C. Clemente
C. Michie
Christos Tachtatzis
OODAAML
123
4
0
21 Feb 2024
Testing autonomous vehicles and AI: perspectives and challenges from
  cybersecurity, transparency, robustness and fairness
Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairness
David Fernández Llorca
Ronan Hamon
Henrik Junklewitz
Kathrin Grosse
Lars Kunze
...
Nick Reed
Alexandre Alahi
Emilia Gómez
Ignacio E. Sánchez
Á. Kriston
288
13
0
21 Feb 2024
Theoretical Understanding of Learning from Adversarial Perturbations
Theoretical Understanding of Learning from Adversarial Perturbations
Soichiro Kumano
Hiroshi Kera
Toshihiko Yamasaki
AAML
213
4
0
16 Feb 2024
Adversarially Robust Feature Learning for Breast Cancer Diagnosis
Adversarially Robust Feature Learning for Breast Cancer Diagnosis
Degan Hao
Dooman Arefan
M. Zuley
Wendie Berg
Shandong Wu
OODMedIm
193
4
0
13 Feb 2024
Faster Repeated Evasion Attacks in Tree Ensembles
Faster Repeated Evasion Attacks in Tree Ensembles
Lorenzo Cascioli
Laurens Devos
Ondvrej Kuvzelka
Jesse Davis
AAML
222
1
0
13 Feb 2024
Breaking Free: How to Hack Safety Guardrails in Black-Box Diffusion
  Models!
Breaking Free: How to Hack Safety Guardrails in Black-Box Diffusion Models!
Shashank Kotyan
Poyuan Mao
Pin-Yu Chen
Danilo Vasconcellos Vargas
AAMLDiffM
360
0
0
07 Feb 2024
Redesigning Traffic Signs to Mitigate Machine-Learning Patch Attacks
Redesigning Traffic Signs to Mitigate Machine-Learning Patch Attacks
Tsufit Shua
Liron David
Mahmood Sharif
AAML
243
0
0
07 Feb 2024
Causal Feature Selection for Responsible Machine Learning
Causal Feature Selection for Responsible Machine Learning
Raha Moraffah
Paras Sheth
Saketh Vishnubhatla
Huan Liu
CML
189
3
0
05 Feb 2024
Evaluating the Robustness of Off-Road Autonomous Driving Segmentation
  against Adversarial Attacks: A Dataset-Centric analysis
Evaluating the Robustness of Off-Road Autonomous Driving Segmentation against Adversarial Attacks: A Dataset-Centric analysis
Pankaj Deoli
Rohit Kumar
A. Vierling
Karsten Berns
431
4
0
03 Feb 2024
Seeing is not always believing: The Space of Harmless Perturbations
Seeing is not always believing: The Space of Harmless Perturbations
Lu Chen
Shaofeng Li
Benhao Huang
Fan Yang
Zheng Li
Jie Li
Yuan Luo
AAML
196
0
0
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Towards Assessing the Synthetic-to-Measured Adversarial Vulnerability of
  SAR ATR
Towards Assessing the Synthetic-to-Measured Adversarial Vulnerability of SAR ATR
Bowen Peng
Bo Peng
Jingyuan Xia
Tianpeng Liu
Yongxiang Liu
Li Liu
AAML
182
16
0
30 Jan 2024
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