Publication Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation Shangding Gu, Hong Cheng, Hang Dong, Bo Qiao, Si Qin, , Qingwei Lin 林庆维 December 2024
Publication Counter-Empirical Attacking based on Adversarial Reinforcement Learning for Time-Relevant Scoring System Xiangguo Sun, Hong Cheng, Hang Dong, Bo Qiao, Si Qin, Qingwei Lin 林庆维 TKDE’24 | November 2024
Publication Closed-Form Bounds for DP-SGD against Record-level Inference Giovanni Cherubin, Boris Köpf, Andrew Paverd, Shruti Tople, Lukas Wutschitz, Santiago Zanella-Béguelin USENIX Security Symposium | August 2024 Project
Publication m3: Accurate Flow-Level Performance Estimation using Machine Learning Chenning Li , Arash Nasr-Esfahany, Kevin Zhao , Kimia Noorbakhsh, Prateesh Goyal, Mohammad Alizadeh ACM SIGCOMM | August 2024
Publication Efficient Policy-Rich Rate Enforcement with Phantom Queues Ammar Tahir, Prateesh Goyal, Ilias Marinos, Mike Evans, Radhika Mittal ACM SIGCOMM | August 2024
Publication Can Large Language Models Transform Natural Language Intent into Formal Method Postconditions? Madeline Endres, Sarah Fakhoury, Saikat Chakraborty, Shuvendu Lahiri The ACM International Conference on the Foundations of Software Engineering (FSE) | July 2024 https://2024.esec-fse.org/details/fse-2024-research-papers/51/Can-Large-Language-Models-Transform-Natural-Language-Intent-into-Formal-Method-Postco Project
Publication X-lifecycle Learning for Cloud Incident Management using LLMs Drishti Goel, Fiza Husain, Aditya Singh, Supriyo GHOSH, A. Parayil, Chetan Bansal, Xuchao Zhang, Saravan Rajmohan Foundations of Software Engineering (FSE) | July 2024
Publication Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4 Xuchao Zhang, Supriyo GHOSH, Chetan Bansal, Rujia Wang, Minghua Ma, Yu Kang, Saravan Rajmohan Foundations of Software Engineering (FSE) | July 2024
Publication What Matters in a Measure? A Perspective from Large-Scale Search Evaluation Paul Thomas, Gabriella Kazai, Nick Craswell, Seth Spielman 2024 International ACM SIGIR Conference on Research and Development in Information Retrieval | July 2024
Publication Large Language Models Can Accurately Predict Searcher Preferences Paul Thomas, Seth Spielman, Nick Craswell, Bhaskar Mitra 2024 International ACM SIGIR Conference on Research and Development in Information Retrieval | July 2024 An earlier version of this paper appeared as arXiv preprint arXiv:2309.10621v1 [cs.IR].