Search Results for author: Shehzeen Samarah Hussain

Found 2 papers, 0 papers with code

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

no code implementations18 Oct 2023 Ruisi Zhang, Shehzeen Samarah Hussain, Paarth Neekhara, Farinaz Koushanfar

We present REMARK-LLM, a novel efficient, and robust watermarking framework designed for texts generated by large language models (LLMs).

Retrieval

NetFlick: Adversarial Flickering Attacks on Deep Learning Based Video Compression

no code implementations4 Apr 2023 Jung-Woo Chang, Nojan Sheybani, Shehzeen Samarah Hussain, Mojan Javaheripi, Seira Hidano, Farinaz Koushanfar

Experimental results demonstrate that NetFlick can successfully deteriorate the performance of video compression frameworks in both digital- and physical-settings and can be further extended to attack downstream video classification networks.

Video Classification Video Compression

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