Publication
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Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models Mingjia Huo, Sai Ashish Somayajula, Youwei Liang, Ruisi Zhang, Farinaz Koushanfar, Pengtao Xie International Conference on Machine Learning 2024
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REMARK-LLM: A Robust and Efficient Watermarking Framework for Generative Large Language Models Ruisi Zhang, Shehzeen Samarah Hussain, Paarth Neekhara, Farinaz Koushanfar USENIX Security Symposium 2024
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EmMark: Robust Watermarks for IP Protection of Embedded Quantized Large Language Models Ruisi Zhang, Farinaz Koushanfar Design Automation Conference 2024
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AdaGL: Adaptive Learning for Agile Distributed Training of Gigantic GNNs Ruisi Zhang, Mojan Javaheripi, Zahra Ghodsi, Amit Bleiweiss, Farinaz Koushanfar Design Automation Conference 2023
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Distributed Constrained Combinatorial Optimization leveraging Hypergraph Neural Networks Nasimeh Heydaribeni, Xinrui Zhan, Ruisi Zhang, Tina Eliassi-Rad, Farinaz Koushanfar Nature Machine Intelligence 2024
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Systemization of Knowledge: Robust Deep Learning using Hardware-software co-design in Centralized and Federated Settings Ruisi Zhang, Shehzeen Hussain, Huili Chen, Mojan Javaheripi, Farinaz Koushanfar ACM Transactions on Design Automation of Electronic Systems 2023 (Keynote Paper)