Paarth Neekhara

According to our database, Paarth Neekhara authored at least 24 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

FaceSigns: Semi-fragile Watermarks for Media Authentication.

Paarth Neekhara, Shehzeen Hussain, Xinqiao Zhang, Ke Huang, Julian J. McAuley, Farinaz Koushanfar

ACM Trans. Multim. Comput. Commun. Appl., November, 2024

Low Frame-rate Speech Codec: a Codec Designed for Fast High-quality Speech LLM Training and Inference.

Edresson Casanova, Ryan Langman, Paarth Neekhara, Shehzeen Hussain, Jason Li, Subhankar Ghosh, Ante Jukic, Sang-gil Lee

CoRR, 2024

Improving Robustness of LLM-based Speech Synthesis by Learning Monotonic Alignment.

Paarth Neekhara, Shehzeen Hussain, Subhankar Ghosh, Jason Li, Rafael Valle, Rohan Badlani, Boris Ginsburg

CoRR, 2024

REMARK-LLM: A Robust and Efficient Watermarking Framework for Generative Large Language Models.

Ruisi Zhang, Shehzeen Samarah Hussain, Paarth Neekhara, Farinaz Koushanfar

Proceedings of the 33rd USENIX Security Symposium, 2024

SelfVC: Voice Conversion With Iterative Refinement using Self Transformations.

Paarth Neekhara, Shehzeen Samarah Hussain, Rafael Valle, Boris Ginsburg, Rishabh Ranjan, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Synthesis and Robust Detection of AI-generated Media

Paarth Neekhara

PhD thesis, 2023

ACE-VC: Adaptive and Controllable Voice Conversion Using Explicitly Disentangled Self-Supervised Speech Representations.

Shehzeen Hussain, Paarth Neekhara, Jocelyn Huang, Jason Li, Boris Ginsburg

Proceedings of the IEEE International Conference on Acoustics, 2023

ReFace: Adversarial Transformation Networks for Real-time Attacks on Face Recognition Systems.

Shehzeen Hussain, Todd Huster, Chris Mesterharm, Paarth Neekhara, Farinaz Koushanfar

Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Network, 2023

2022

Exposing Vulnerabilities of Deepfake Detection Systems with Robust Attacks.

Shehzeen Hussain, Paarth Neekhara, Brian Dolhansky, Joanna Bitton, Cristian Canton Ferrer, Julian J. McAuley, Farinaz Koushanfar

DTRAP, 2022

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

CoRR, 2022

FaceSigns: Semi-Fragile Neural Watermarks for Media Authentication and Countering Deepfakes.

Paarth Neekhara, Shehzeen Hussain, Xinqiao Zhang, Ke Huang, Julian J. McAuley, Farinaz Koushanfar

CoRR, 2022

Cross-modal Adversarial Reprogramming.

Paarth Neekhara, Shehzeen Hussain, Jinglong Du, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

FastStamp: Accelerating Neural Steganography and Digital Watermarking of Images on FPGAs.

Shehzeen Hussain, Nojan Sheybani, Paarth Neekhara, Xinqiao Zhang, Javier Mauricio Duarte, Farinaz Koushanfar

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

2021

Adapting TTS models For New Speakers using Transfer Learning.

Paarth Neekhara, Jason Li, Boris Ginsburg

CoRR, 2021

Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples.

Shehzeen Hussain, Paarth Neekhara, Malhar Jere, Farinaz Koushanfar, Julian J. McAuley

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

WaveGuard: Understanding and Mitigating Audio Adversarial Examples.

Shehzeen Hussain, Paarth Neekhara, Shlomo Dubnov, Julian J. McAuley, Farinaz Koushanfar

Proceedings of the 30th USENIX Security Symposium, 2021

Adversarial Threats to DeepFake Detection: A Practical Perspective.

Paarth Neekhara, Brian Dolhansky, Joanna Bitton, Cristian Canton-Ferrer

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Expressive Neural Voice Cloning.

Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley

Proceedings of the Asian Conference on Machine Learning, 2021

2019

Universal Adversarial Perturbations for Speech Recognition Systems.

Paarth Neekhara, Shehzeen Hussain, Prakhar Pandey, Shlomo Dubnov, Julian J. McAuley, Farinaz Koushanfar

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Expediting TTS Synthesis with Adversarial Vocoding.

Paarth Neekhara, Chris Donahue, Miller S. Puckette, Shlomo Dubnov, Julian J. McAuley

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

FastWave: Accelerating Autoregressive Convolutional Neural Networks on FPGA.

Shehzeen Hussain, Mojan Javaheripi, Paarth Neekhara, Ryan Kastner, Farinaz Koushanfar

Proceedings of the International Conference on Computer-Aided Design, 2019

Adversarial Reprogramming of Text Classification Neural Networks.

Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Adversarial Reprogramming of Sequence Classification Neural Networks.

Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar

CoRR, 2018

2017

Unsupervised Image-to-Image Translation with Generative Adversarial Networks.

Hao Dong, Paarth Neekhara, Chao Wu, Yike Guo

CoRR, 2017