6 citations · 8 across the 5 of their papers we have counts for
7 papers
Stacked Universal Successor Feature Approximators for Safety in Reinforcement Learning
Ian Cannon, Washington Garcia, Thomas Gresavage +3
Real-world problems often involve complex objective structures that resist distillation into reinforcement learning environments with a single objective. Operation costs must be ba…
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…
Hard-label Manifolds: Unexpected Advantages of Query Efficiency for Finding On-manifold Adversarial Examples
Washington Garcia, Pin-Yu Chen, Somesh Jha +2
Designing deep networks robust to adversarial examples remains an open problem. Likewise, recent zeroth order hard-label attacks on image classification models have shown comparabl…
Hear "No Evil", See "Kenansville": Efficient and Transferable Black-Box Attacks on Speech Recognition and Voice Identification Systems
Hadi Abdullah, Muhammad Sajidur Rahman, Washington Garcia +5
Automatic speech recognition and voice identification systems are being deployed in a wide array of applications, from providing control mechanisms to devices lacking traditional i…
Practical Hidden Voice Attacks against Speech and Speaker Recognition Systems
Hadi Abdullah, Washington Garcia, Christian Peeters +3
Voice Processing Systems (VPSes), now widely deployed, have been made significantly more accurate through the application of recent advances in machine learning. However, adversari…
Explainable Black-Box Attacks Against Model-based Authentication
Washington Garcia, Joseph I. Choi, Suman K. Adari +2
Establishing unique identities for both humans and end systems has been an active research problem in the security community, giving rise to innovative machine learning-based authe…