research
∙
07/30/2023
Theoretically Principled Trade-off for Stateful Defenses against Query-Based Black-Box Attacks
Adversarial examples threaten the integrity of machine learning systems ...
share
research
∙
03/11/2023
Investigating Stateful Defenses Against Black-Box Adversarial Examples
Defending machine-learning (ML) models against white-box adversarial att...
research
∙
12/16/2022
SkillFence: A Systems Approach to Practically Mitigating Voice-Based Confusion Attacks
Voice assistants are deployed widely and provide useful functionality. H...
research
∙
12/08/2022
Re-purposing Perceptual Hashing based Client Side Scanning for Physical Surveillance
Content scanning systems employ perceptual hashing algorithms to scan us...
research
∙
02/11/2022
Towards Adversarially Robust Deepfake Detection: An Ensemble Approach
Detecting deepfakes is an important problem, but recent work has shown t...
research
∙
11/26/2020
