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Constrained Gradient Descent: A Powerful and Principled Evasion Attack
  Against Neural Networks

Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks

28 December 2021
Weiran Lin
Keane Lucas
Lujo Bauer
Michael K. Reiter
Mahmood Sharif
    AAML
ArXivPDFHTML

Papers citing "Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks"

5 / 5 papers shown
Title
Differentiable Adversarial Attacks for Marked Temporal Point Processes
Differentiable Adversarial Attacks for Marked Temporal Point Processes
Pritish Chakraborty
Vinayak Gupta
R. Raj
Srikanta J. Bedathur
A. De
AAML
143
0
0
17 Jan 2025
Group-based Robustness: A General Framework for Customized Robustness in
  the Real World
Group-based Robustness: A General Framework for Customized Robustness in the Real World
Weiran Lin
Keane Lucas
Neo Eyal
Lujo Bauer
Michael K. Reiter
Mahmood Sharif
OOD
AAML
22
1
0
29 Jun 2023
RobustBench: a standardized adversarial robustness benchmark
RobustBench: a standardized adversarial robustness benchmark
Francesco Croce
Maksym Andriushchenko
Vikash Sehwag
Edoardo Debenedetti
Nicolas Flammarion
M. Chiang
Prateek Mittal
Matthias Hein
VLM
217
675
0
19 Oct 2020
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
256
3,109
0
04 Nov 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
252
5,833
0
08 Jul 2016
1