Paarth Neekhara

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 31

Top Topics

Sequence Classification

Digital Watermarking

Face Recognition

Top Venues

USENIX Security Symposium

Publications

Paarth Neekhara, Shehzeen Hussain, Subhankar Ghosh, Jason Li, Rafael Valle, Rohan Badlani, Boris Ginsburg
Improving Robustness of LLM-based Speech Synthesis by Learning Monotonic Alignment. CoRR (2024)
Ruisi Zhang, Shehzeen Samarah Hussain, Paarth Neekhara, Farinaz Koushanfar
REMARK-LLM: A Robust and Efficient Watermarking Framework for Generative Large Language Models. USENIX Security Symposium (2024)
Shehzeen Hussain, Paarth Neekhara, Jocelyn Huang, Jason Li, Boris Ginsburg
ACE-VC: Adaptive and Controllable Voice Conversion using Explicitly Disentangled Self-supervised Speech Representations. CoRR (2023)
Ruisi Zhang, Shehzeen Samarah Hussain, Paarth Neekhara, Farinaz Koushanfar
REMARK-LLM: A Robust and Efficient Watermarking Framework for Generative Large Language Models. CoRR (2023)
Shehzeen Hussain, Todd Huster, Chris Mesterharm, Paarth Neekhara, Farinaz Koushanfar
ReFace: Adversarial Transformation Networks for Real-time Attacks on Face Recognition Systems. DSN (2023)
Shehzeen Hussain, Paarth Neekhara, Jocelyn Huang, Jason Li, Boris Ginsburg
ACE-VC: Adaptive and Controllable Voice Conversion Using Explicitly Disentangled Self-Supervised Speech Representations. ICASSP (2023)
Paarth Neekhara, Shehzeen Hussain, Rafael Valle, Boris Ginsburg, Rishabh Ranjan, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley
SelfVC: Voice Conversion With Iterative Refinement using Self Transformations. CoRR (2023)
Paarth Neekhara, Shehzeen Hussain, Jinglong Du, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley
Cross-modal Adversarial Reprogramming. WACV (2022)
Paarth Neekhara, Shehzeen Hussain, Xinqiao Zhang, Ke Huang, Julian J. McAuley, Farinaz Koushanfar
FaceSigns: Semi-Fragile Neural Watermarks for Media Authentication and Countering Deepfakes. CoRR (2022)
Shehzeen Hussain, Nojan Sheybani, Paarth Neekhara, Xinqiao Zhang, Javier Duarte, Farinaz Koushanfar
FastStamp: Accelerating Neural Steganography and Digital Watermarking of Images on FPGAs. ICCAD (2022)
Shehzeen Hussain, Nojan Sheybani, Paarth Neekhara, Xinqiao Zhang, Javier Duarte, Farinaz Koushanfar
FastStamp: Accelerating Neural Steganography and Digital Watermarking of Images on FPGAs. CoRR (2022)
Shehzeen Hussain, Todd Huster, Chris Mesterharm, Paarth Neekhara, Kevin An, Malhar Jere, Harshvardhan Sikka, Farinaz Koushanfar
ReFace: Real-time Adversarial Attacks on Face Recognition Systems. CoRR (2022)
Shehzeen Hussain, Paarth Neekhara, Shlomo Dubnov, Julian J. McAuley, Farinaz Koushanfar
WaveGuard: Understanding and Mitigating Audio Adversarial Examples. CoRR (2021)
Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley
Expressive Neural Voice Cloning. ACML (2021)
Shehzeen Hussain, Paarth Neekhara, Shlomo Dubnov, Julian J. McAuley, Farinaz Koushanfar
WaveGuard: Understanding and Mitigating Audio Adversarial Examples. USENIX Security Symposium (2021)
Paarth Neekhara, Jason Li, Boris Ginsburg
Adapting TTS models For New Speakers using Transfer Learning. CoRR (2021)
Shehzeen Hussain, Paarth Neekhara, Malhar Jere, Farinaz Koushanfar, Julian J. McAuley
Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples. WACV (2021)
Paarth Neekhara, Brian Dolhansky, Joanna Bitton, Cristian Canton-Ferrer
Adversarial Threats to DeepFake Detection: A Practical Perspective. CVPR Workshops (2021)
Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley
Expressive Neural Voice Cloning. CoRR (2021)
Paarth Neekhara, Shehzeen Hussain, Jinglong Du, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley
Cross-modal Adversarial Reprogramming. CoRR (2021)
Paarth Neekhara, Shehzeen Hussain, Malhar Jere, Farinaz Koushanfar, Julian J. McAuley
Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples. CoRR (2020)
Paarth Neekhara, Brian Dolhansky, Joanna Bitton, Cristian Canton-Ferrer
Adversarial Threats to DeepFake Detection: A Practical Perspective. CoRR (2020)
Shehzeen Hussain, Mojan Javaheripi, Paarth Neekhara, Ryan Kastner, Farinaz Koushanfar
FastWave: Accelerating Autoregressive Convolutional Neural Networks on FPGA. CoRR (2020)
Paarth Neekhara, Chris Donahue, Miller S. Puckette, Shlomo Dubnov, Julian J. McAuley
Expediting TTS Synthesis with Adversarial Vocoding. CoRR (2019)
Paarth Neekhara, Shehzeen Hussain, Prakhar Pandey, Shlomo Dubnov, Julian J. McAuley, Farinaz Koushanfar
Universal Adversarial Perturbations for Speech Recognition Systems. CoRR (2019)
Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar
Adversarial Reprogramming of Text Classification Neural Networks. EMNLP/IJCNLP (1) (2019)
Paarth Neekhara, Shehzeen Hussain, Prakhar Pandey, Shlomo Dubnov, Julian J. McAuley, Farinaz Koushanfar
Universal Adversarial Perturbations for Speech Recognition Systems. INTERSPEECH (2019)
Paarth Neekhara, Chris Donahue, Miller S. Puckette, Shlomo Dubnov, Julian J. McAuley
Expediting TTS Synthesis with Adversarial Vocoding. INTERSPEECH (2019)
Shehzeen Hussain, Mojan Javaheripi, Paarth Neekhara, Ryan Kastner, Farinaz Koushanfar
FastWave: Accelerating Autoregressive Convolutional Neural Networks on FPGA. ICCAD (2019)
Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar
Adversarial Reprogramming of Sequence Classification Neural Networks. CoRR (2018)
Hao Dong, Paarth Neekhara, Chao Wu, Yike Guo
Unsupervised Image-to-Image Translation with Generative Adversarial Networks. CoRR (2017)