I am a PhD student in Computer Science at UC San Diego jointly advised by Professor Julian McAuley and Professor Shlomo Dubnov. I am currently working on machine learning for audio signal processing and also exploring security aspects of neural network models. I received my undergraduate (B. Tech) degree in Computer Science from Indian Institute of Technology (IIT), Roorkee in 2017. Besides research, I co-lead the technical team at Blue Water where we work on developing voyage optimization and weather routing solutions for maritime companies.



ReFace: Real-time Adversarial Attacks on Face Recognition Systems
Shehzeen Hussain, Todd Huster, Chris Mesterharm, Paarth Neekhara, Kevin An, Malhar Jere, Harshvardhan Sikka, Farinaz Koushanfar
DSN 2023
[ pdf, arxiv ]

ACE-VC: Adaptive and Controllable Voice Conversion using Explicitly Disentangled Self-supervised Speech Representations
Shehzeen Hussain*, Paarth Neekhara*, Jocelyn Huang, Jason Li, Boris Ginsburg
[ pdf, arxiv, audio examples ]

FastStamp: Accelerating Neural Steganography and Digital Watermarking of Images on FPGAs
Shehzeen Hussain*, Nojan Sheybani*, Paarth Neekhara*, Xinqiao Zhang, Javier Duarte, Farinaz Koushanfar
ICCAD 2022
[ pdf, arxiv ]

Cross-modal Adversarial Reprogramming
Paarth Neekhara*, Shehzeen Hussain*, Jinglong Du, Shlomo Dubnov, Farinaz Koshanfar, Julian McAuley
WACV 2022
[ pdf, arxiv ]

Expressive Neural Voice Cloning
Paarth Neekhara*, Shehzeen Hussain*, Shlomo Dubnov, Farinaz Koshanfar, Julian McAuley
ACML 2021
[ pdf, arxiv, audio examples, demo ]

Adversarial threats to deepfake detection: A practical perspective
Paarth Neekhara, Brian Dolhansky, Joanna Bitton, Cristian Ferrer
CVPR Media Forensics Workshop 2021
[ pdf, arxiv ]

WaveGuard: Understanding and mitigating audio adversarial examples
Shehzeen Hussain*, Paarth Neekhara*, Shlomo Dubnov, Julian McAuley, Farinaz Koshanfar
USENIX Security 2021
[ pdf, arxiv ]

Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples
Shehzeen Hussain*, Paarth Neekhara*, Malhar Jere, Farinaz Koshanfar, Julian McAuley
WACV 2021
[ pdf, arxiv, website ]

Adversarial Reprogramming of Text Classification Neural Networks
Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koshanfar
EMNLP 2019
[ pdf, arxiv, code ]

Universal Adversarial Perturbations for Speech Recognition Systems
Paarth Neekhara*, Shehzeen Hussain*, Prakhar Pandey, Shlomo Dubnov, Julian McAuley, Farinaz Koushanfar
[ pdf, arxiv, audio examples ]

Expediting TTS Synthesis with Adversarial Vocoding
Paarth Neekhara*, Chris Donahue*, Miller Puckette, Shlomo Dubnov, Julian McAuley
[ pdf, arxiv, code, audio examples ]

FastWave: Accelerating Autoregressive Convolutional Neural Networks on FPGA
Shehzeen Hussain, Mojan Javaheripi, Paarth Neekhara, Ryan Kastner, Farinaz Koushanfar
ICCAD 2019
[ pdf, arxiv ]