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Provably Robust Adversarial Examples

Provably Robust Adversarial Examples

23 July 2020
Dimitar I. Dimitrov
Gagandeep Singh
Timon Gehr
Martin Vechev
    AAML
ArXivPDFHTML

Papers citing "Provably Robust Adversarial Examples"

3 / 3 papers shown
Title
Cross-Input Certified Training for Universal Perturbations
Cross-Input Certified Training for Universal Perturbations
Changming Xu
Gagandeep Singh
AAML
33
2
0
15 May 2024
VeriX: Towards Verified Explainability of Deep Neural Networks
VeriX: Towards Verified Explainability of Deep Neural Networks
Min Wu
Haoze Wu
Clark W. Barrett
AAML
48
11
0
02 Dec 2022
A New Defense Against Adversarial Images: Turning a Weakness into a
  Strength
A New Defense Against Adversarial Images: Turning a Weakness into a Strength
Tao Yu
Shengyuan Hu
Chuan Guo
Wei-Lun Chao
Kilian Q. Weinberger
AAML
58
101
0
16 Oct 2019
1