198 citations · 353 across the 13 of their papers we have counts for
4 papers · 1 filter
Deep Residual Neural Networks for Audio Spoofing Detection
Moustafa Alzantot, Ziqi Wang, Mani B. Srivastava
The state-of-art models for speech synthesis and voice conversion are capable of generating synthetic speech that is perceptually indistinguishable from bonafide human speech. Thes…
CAAD 2018: Generating Transferable Adversarial Examples
Yash Sharma, Tien-Dung Le, Moustafa Alzantot
Deep neural networks (DNNs) are vulnerable to adversarial examples, perturbations carefully crafted to fool the targeted DNN, in both the non-targeted and targeted case. In the non…
GenAttack: Practical Black-box Attacks with Gradient-Free Optimization
Moustafa Alzantot, Yash Sharma, Supriyo Chakraborty +3
Deep neural networks are vulnerable to adversarial examples, even in the black-box setting, where the attacker is restricted solely to query access. Existing black-box approaches t…
SenseGen: A Deep Learning Architecture for Synthetic Sensor Data Generation
Moustafa Alzantot, Supriyo Chakraborty, Mani B. Srivastava
Our ability to synthesize sensory data that preserves specific statistical properties of the real data has had tremendous implications on data privacy and big data analytics. The s…