no code implementations • 5 Nov 2020 • Jay Mahadeokar, Yuan Shangguan, Duc Le, Gil Keren, Hang Su, Thong Le, Ching-Feng Yeh, Christian Fuegen, Michael L. Seltzer
There is a growing interest in the speech community in developing Recurrent Neural Network Transducer (RNN-T) models for automatic speech recognition (ASR) applications.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
no code implementations • ICLR 2019 • Minhao Cheng, Thong Le, Pin-Yu Chen, huan zhang, Jin-Feng Yi, Cho-Jui Hsieh
We study the problem of attacking machine learning models in the hard-label black-box setting, where no model information is revealed except that the attacker can make queries to probe the corresponding hard-label decisions.
1 code implementation • 12 Jul 2018 • Minhao Cheng, Thong Le, Pin-Yu Chen, Jin-Feng Yi, huan zhang, Cho-Jui Hsieh
We study the problem of attacking a machine learning model in the hard-label black-box setting, where no model information is revealed except that the attacker can make queries to probe the corresponding hard-label decisions.