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Is Certifying $\ell_p$ Robustness Still Worthwhile?

Is Certifying ℓp\ell_pℓp​ Robustness Still Worthwhile?

13 October 2023
Ravi Mangal
Klas Leino
Zifan Wang
Kai Hu
Weicheng Yu
Corina S. Pasareanu
Anupam Datta
Matt Fredrikson
    AAML
    OOD
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Papers citing "Is Certifying $\ell_p$ Robustness Still Worthwhile?"

11 / 11 papers shown
Title
Towards Universal Certified Robustness with Multi-Norm Training
Towards Universal Certified Robustness with Multi-Norm Training
Enyi Jiang
Gagandeep Singh
Gagandeep Singh
AAML
47
1
0
03 Oct 2024
Unlocking Deterministic Robustness Certification on ImageNet
Unlocking Deterministic Robustness Certification on ImageNet
Kaiqin Hu
Andy Zou
Zifan Wang
Klas Leino
Matt Fredrikson
OOD
16
12
0
29 Jan 2023
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
291
2,712
0
24 May 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
301
11,730
0
04 Mar 2022
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses
Francesco Croce
Sven Gowal
T. Brunner
Evan Shelhamer
Matthias Hein
A. Cemgil
TTA
AAML
165
67
0
28 Feb 2022
Unsolved Problems in ML Safety
Unsolved Problems in ML Safety
Dan Hendrycks
Nicholas Carlini
John Schulman
Jacob Steinhardt
164
268
0
28 Sep 2021
Globally-Robust Neural Networks
Globally-Robust Neural Networks
Klas Leino
Zifan Wang
Matt Fredrikson
AAML
OOD
77
125
0
16 Feb 2021
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
207
668
0
19 Oct 2020
Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp
  Adversarial Attacks
Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks
Wei-An Lin
Chun Pong Lau
Alexander Levine
Ramalingam Chellappa
S. Feizi
AAML
74
60
0
05 Sep 2020
Fine-Tuning Language Models from Human Preferences
Fine-Tuning Language Models from Human Preferences
Daniel M. Ziegler
Nisan Stiennon
Jeff Wu
Tom B. Brown
Alec Radford
Dario Amodei
Paul Christiano
G. Irving
ALM
275
1,561
0
18 Sep 2019
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
222
1,818
0
03 Feb 2017
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