306 citations · 851 across the 25 of their papers we have counts for
4 papers · 1 filter
Why Are Conversational Assistants Still Black Boxes? The Case For Transparency
Trung Dong Huynh, William Seymour, Luc Moreau +1
Much has been written about privacy in the context of conversational and voice assistants. Yet, there have been remarkably few developments in terms of the actual privacy offered b…
MalProtect: Stateful Defense Against Adversarial Query Attacks in ML-based Malware Detection
Aqib Rashid, Jose Such
ML models are known to be vulnerable to adversarial query attacks. In these attacks, queries are iteratively perturbed towards a particular class without any knowledge of the targe…
Effectiveness of Moving Target Defenses for Adversarial Attacks in ML-based Malware Detection
Aqib Rashid, Jose Such
Several moving target defenses (MTDs) to counter adversarial ML attacks have been proposed in recent years. MTDs claim to increase the difficulty for the attacker in conducting att…
Legal Obligation and Ethical Best Practice: Towards Meaningful Verbal Consent for Voice Assistants
William Seymour, Mark Cote, Jose Such
To improve user experience, Alexa now allows users to consent to data sharing via voice rather than directing them to the companion smartphone app. While verbal consent mechanisms…