activity
20162024
most citedDid you hear that? Adversarial Examples Against Automatic Speech Recognition

198 citations · 311 across the 11 of their papers we have counts for

collaborators
Showing cs.LGShow all

5 papers · 1 filter

cs.LG2022

Combining Individual and Joint Networking Behavior for Intelligent IoT Analytics

Jeya Vikranth Jeyakumar, Ludmila Cherkasova, Saina Lajevardi +4

The IoT vision of a trillion connected devices over the next decade requires reliable end-to-end connectivity and automated device management platforms. While we have seen successf…

cs.LG2020

MANGO: A Python Library for Parallel Hyperparameter Tuning

Sandeep Singh Sandha, Mohit Aggarwal, Igor Fedorov +1

Tuning hyperparameters for machine learning algorithms is a tedious task, one that is typically done manually. To enable automated hyperparameter tuning, recent works have started…

cs.LG2019

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…

cs.LG2018

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…

cs.LG201724 cited

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…