2 citations · 2 across the 4 of their papers we have counts for
4 papers
Robust LLM Watermarking with Minimal Semantic Distortion for IP Protection
Kieu Dang, Phung Lai, NhatHai Phan +2
Proprietary large language models (LLMs) face risks of intellectual property (IP) violation, as adversaries can replicate an LLM by collecting input-output pairs to train a surroga…
-STEAL: LLM Stealing Attack with Local Differential Privacy
Kieu Dang, Phung Lai, NhatHai Phan +3
Large language models (LLMs) demonstrate remarkable capabilities across various tasks. However, their deployment introduces significant risks related to intellectual property. In t…
SoK: Are Watermarks in LLMs Ready for Deployment?
Kieu Dang, Phung Lai, NhatHai Phan +4
Large Language Models (LLMs) have transformed natural language processing, demonstrating impressive capabilities across diverse tasks. However, deploying these models introduces cr…
Demo: SGCode: A Flexible Prompt-Optimizing System for Secure Generation of Code
Khiem Ton, Nhi Nguyen, Mahmoud Nazzal +6
This paper introduces SGCode, a flexible prompt-optimizing system to generate secure code with large language models (LLMs). SGCode integrates recent prompt-optimization approaches…