63 citations · 88 across the 9 of their papers we have counts for
10 papers · 1 filter
On the Choice of Databases in Differential Privacy Composition
Valentin Hartmann, Vincent Bindschaedler, Robert West
Differential privacy (DP) is a widely applied paradigm for releasing data while maintaining user privacy. Its success is to a large part due to its composition property that guaran…
On the Importance of Architecture and Feature Selection in Differentially Private Machine Learning
Wenxuan Bao, Luke A. Bauer, Vincent Bindschaedler
We study a pitfall in the typical workflow for differentially private machine learning. The use of differentially private learning algorithms in a "drop-in" fashion -- without acco…
Attacks as Defenses: Designing Robust Audio CAPTCHAs Using Attacks on Automatic Speech Recognition Systems
Hadi Abdullah, Aditya Karlekar, Saurabh Prasad +5
Audio CAPTCHAs are supposed to provide a strong defense for online resources; however, advances in speech-to-text mechanisms have rendered these defenses ineffective. Audio CAPTCHA…
Beyond clipping: Equalization-based Psychoacoustic Attacks against ASRs
Hadi Abdullah, Muhammad Sajidur Rahman, Christian Peeters +5
Automatic Speech Recognition (ASR) systems convert speech into text and can be placed into two broad categories: traditional and fully end-to-end. Both types have been shown to be…
Generative Models for Security: Attacks, Defenses, and Opportunities
Luke A. Bauer, Vincent Bindschaedler
Generative models learn the distribution of data from a sample dataset and can then generate new data instances. Recent advances in deep learning has brought forth improvements in…
SoK: The Faults in our ASRs: An Overview of Attacks against Automatic Speech Recognition and Speaker Identification Systems
Hadi Abdullah, Kevin Warren, Vincent Bindschaedler +2
Speech and speaker recognition systems are employed in a variety of applications, from personal assistants to telephony surveillance and biometric authentication. The wide deployme…