RAID: Randomized Adversarial-Input Detection for Neural Networks

7 February 2020

Papers citing "RAID: Randomized Adversarial-Input Detection for Neural Networks"

5 / 5 papers shown

Title
Resisting Deep Learning Models Against Adversarial Attack Transferability via Feature Randomization Ehsan Nowroozi Mohammadreza Mohammadi Pargol Golmohammadi Yassine Mekdad Mauro Conti Selcuk Uluagac AAML SILM 82 14 0 11 Sep 2022
Towards Scalable Verification of Deep Reinforcement Learning Guy Amir Michael Schapira Guy Katz OffRL 74 47 0 25 May 2021
Adversarial Example Detection for DNN Models: A Review and Experimental Comparison Ahmed Aldahdooh W. Hamidouche Sid Ahmed Fezza Olivier Déforges AAML 233 128 0 01 May 2021
A Review and Refinement of Surprise Adequacy Michael Weiss Rwiddhi Chakraborty Paolo Tonella AAML AI4TS 65 16 0 10 Mar 2021
Revisiting Model's Uncertainty and Confidences for Adversarial Example Detection Ahmed Aldahdooh W. Hamidouche Olivier Déforges AAML 147 29 0 09 Mar 2021