Machine Learning · Computer Science
Fundamental Tradeoffs between Invariance and Sensitivity to Adversarial Perturbations
Florian Tramèr, Jens Behrmann, Nicholas Carlini, Nicolas Papernot +1
2020-08-05
Machine Learning · Computer Science
Exploiting Excessive Invariance caused by Norm-Bounded Adversarial Robustness
Jörn-Henrik Jacobsen, Jens Behrmannn, Nicholas Carlini, Florian Tramèr +1
2019-03-26
Machine Learning · Computer Science
Adversarial Examples in Modern Machine Learning: A Review
Rey Reza Wiyatno, Anqi Xu, Ousmane Dia, Archy de Berker
2019-11-19
Machine Learning · Statistics
The Space of Transferable Adversarial Examples
Florian Tramèr, Nicolas Papernot, Ian Goodfellow, Dan Boneh +1
2017-05-25
Machine Learning · Computer Science
Adversarial Risk and the Dangers of Evaluating Against Weak Attacks
Jonathan Uesato, Brendan O'Donoghue, Aaron van den Oord, Pushmeet Kohli
2018-06-13
Machine Learning · Computer Science
Analyzing the Impact of Adversarial Examples on Explainable Machine Learning
Prathyusha Devabhakthini, Sasmita Parida, Raj Mani Shukla, Suvendu Chandan Nayak +1
2025-09-15
Machine Learning · Computer Science
On Norm-Agnostic Robustness of Adversarial Training
Bai Li, Changyou Chen, Wenlin Wang, Lawrence Carin
2019-05-17
Machine Learning · Computer Science
It Is All About Data: A Survey on the Effects of Data on Adversarial Robustness
Peiyu Xiong, Michael Tegegn, Jaskeerat Singh Sarin, Shubhraneel Pal +1
2023-10-18
Machine Learning · Computer Science
On the Effect of Adversarial Training Against Invariance-based Adversarial Examples
Roland Rauter, Martin Nocker, Florian Merkle, Pascal Schöttle
2023-09-19
Machine Learning · Statistics
Adversarial Examples Are Not Bugs, They Are Features
Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Logan Engstrom +2
2019-08-13
Cryptography and Security · Computer Science
Adversarial Examples and Metrics
Nico Döttling, Kathrin Grosse, Michael Backes, Ian Molloy
2020-07-16
Computation and Language · Computer Science
Elephant in the Room: An Evaluation Framework for Assessing Adversarial Examples in NLP
Ying Xu, Xu Zhong, Antonio Jose Jimeno Yepes, Jey Han Lau
2020-06-02
Machine Learning · Computer Science
Algebraic Adversarial Attacks on Integrated Gradients
Lachlan Simpson, Federico Costanza, Kyle Millar, Adriel Cheng +2
2025-02-28
Machine Learning · Computer Science
Towards Imperceptible and Robust Adversarial Example Attacks against Neural Networks
Bo Luo, Yannan Liu, Lingxiao Wei, Qiang Xu
2018-01-16
Machine Learning · Computer Science
Adversarial machine learning for protecting against online manipulation
Stefano Cresci, Marinella Petrocchi, Angelo Spognardi, Stefano Tognazzi
2021-11-24
Cryptography and Security · Computer Science
On the (Statistical) Detection of Adversarial Examples
Kathrin Grosse, Praveen Manoharan, Nicolas Papernot, Michael Backes +1
2017-10-18
Machine Learning · Computer Science
Motivating the Rules of the Game for Adversarial Example Research
Justin Gilmer, Ryan P. Adams, Ian Goodfellow, David Andersen +1
2018-07-23
Machine Learning · Computer Science
Position: Towards Resilience Against Adversarial Examples
Sihui Dai, Chong Xiang, Tong Wu, Prateek Mittal
2024-10-10