Analyzing Information Leakage of Updates to Natural Language Models. - Santiago Zanella-Béguelin; Lukas Wutschitz; Shruti Tople; Victor Rühle; Andrew Paverd; Olga Ohrimenko; Boris Köpf; Marc Brockschmidt (CCS, 2020)

Privacy Regularization: Joint Privacy-Utility Optimization in LanguageModels. - Fatemehsadat Mireshghallah; Huseyin A. Inan; Marcello Hasegawa; Victor Rühle; Taylor Berg-Kirkpatrick; Robert Sim (NAACL-HLT, 2021)

Privacy Analysis in Language Models via Training Data Leakage Report. - Huseyin A. Inan; Osman Ramadan; Lukas Wutschitz; Daniel Jones; Victor Rühle; James Withers; Robert Sim (CoRR, 2021)

Privacy Regularization: Joint Privacy-Utility Optimization in Language Models. - Fatemehsadat Mireshghallah; Huseyin A. Inan; Marcello Hasegawa; Victor Rühle; Taylor Berg-Kirkpatrick; Robert Sim (CoRR, 2021)

Spot Virtual Machine Eviction Prediction in Microsoft Cloud. - Fangkai Yang; Bowen Pang; Jue Zhang; Bo Qiao 001; Lu Wang 029; Camille Couturier; Chetan Bansal; Soumya Ram; Si Qin; Zhen Ma; Iñigo Goiri; Eli Cortez; et al. (WWW (Companion Volume), 2022)

Snape: Reliable and Low-Cost Computing with Mixture of Spot and On-Demand VMs. - Fangkai Yang; Lu Wang 029; Zhenyu Xu; Jue Zhang; Liqun Li; Bo Qiao 001; Camille Couturier; Chetan Bansal; Soumya Ram; Si Qin; Zhen Ma; Íñigo Goiri; et al. (ASPLOS (3), 2023)

Bayesian Estimation of Differential Privacy. - Santiago Zanella-Béguelin; Lukas Wutschitz; Shruti Tople; Ahmed Salem 001; Victor Rühle; Andrew Paverd; Mohammad Naseri; Boris Köpf; Daniel Jones (ICML, 2023)

Hybrid Retrieval-Augmented Generation for Real-time Composition Assistance. - Xuchao Zhang; Menglin Xia; Camille Couturier; Guoqing Zheng; Saravan Rajmohan; Victor Rühle (CoRR, 2023)

Rethinking Privacy in Machine Learning Pipelines from an Information Flow Control Perspective. - Lukas Wutschitz; Boris Köpf; Andrew Paverd; Saravan Rajmohan; Ahmed Salem 001; Shruti Tople; Santiago Zanella-Béguelin; Menglin Xia; Victor Rühle (CoRR, 2023)

Unlocking Spatial Comprehension in Text-to-Image Diffusion Models. - Mohammad Mahdi Derakhshani; Menglin Xia; Harkirat Behl; Cees G. M. Snoek; Victor Rühle (CoRR, 2023)

LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression. - Zhuoshi Pan; Qianhui Wu; Huiqiang Jiang; Menglin Xia; Xufang Luo; Jue Zhang; Qingwei Lin; Victor Rühle; Yuqing Yang 001; Chin-Yew Lin; H. Vicky Zhao; Lili Qiu; et al. (ACL (Findings), 2024)

Hybrid-RACA: Hybrid Retrieval-Augmented Composition Assistance for Real-time Text Prediction. - Menglin Xia; Xuchao Zhang; Camille Couturier; Guoqing Zheng; Saravan Rajmohan; Victor Rühle (EMNLP (Industry Track), 2024)

Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing. - Dujian Ding; Ankur Mallick; Chi Wang 001; Robert Sim; Subhabrata Mukherjee; Victor Rühle; Laks V. S. Lakshmanan; Ahmed Hassan Awadallah (ICLR, 2024)

Risk-aware Adaptive Virtual CPU Oversubscription in Microsoft Cloud via Prototypical Human-in-the-loop Imitation Learning. - Lu Wang 029; Mayukh Das; Fangkai Yang; Junjie Sheng; Bo Qiao 001; Hang Dong 004; Si Qin; Victor Rühle; Chetan Bansal; Eli Cortez; Íñigo Goiri; Saravan Rajmohan; et al. (CoRR, 2024)

Lean Attention: Hardware-Aware Scalable Attention Mechanism for the Decode-Phase of Transformers. - Rya Sanovar; Srikant Bharadwaj; Renée St. Amant; Victor Rühle; Saravan Rajmohan (CoRR, 2024)

Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Scheduling. - Kunal Jain; Anjaly Parayil; Ankur Mallick; Esha Choukse; Xiaoting Qin; Jue Zhang; Íñigo Goiri; Rujia Wang; Chetan Bansal; Victor Rühle; Anoop Kulkarni; Steve Kofsky; et al. (CoRR, 2024)

TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning. - Shivam Shandilya; Menglin Xia; Supriyo Ghosh; Huiqiang Jiang; Jue Zhang; Qianhui Wu; Victor Rühle (CoRR, 2024)

EcoAct: Economic Agent Determines When to Register What Action. - Shaokun Zhang; Jieyu Zhang 001; Dujian Ding; Mirian Hipolito Garcia; Ankur Mallick; Daniel Madrigal; Menglin Xia; Victor Rühle; Qingyun Wu; Chi Wang 001 (CoRR, 2024)

Ensuring Fair LLM Serving Amid Diverse Applications. - Redwan Ibne Seraj Khan; Kunal Jain; Haiying Shen; Ankur Mallick; Anjaly Parayil; Anoop Kulkarni; Steve Kofsky; Pankhuri Choudhary; Renée St. Amant; Rujia Wang; Yue Cheng 001; Ali Raza Butt; et al. (CoRR, 2024)

TurboAttention: Efficient Attention Approximation For High Throughputs LLMs. - Hao Kang; Srikant Bharadwaj; James Hensman; Tushar Krishna; Victor Rühle; Saravan Rajmohan (CoRR, 2024)

TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning. - Shivam Shandilya; Menglin Xia; Supriyo Ghosh; Huiqiang Jiang; Jue Zhang; Qianhui Wu; Victor Rühle; Saravan Rajmohan (ACL (Findings), 2025)

Performance Aware LLM Load Balancer for Mixed Workloads. - Kunal Jain; Anjaly Parayil; Ankur Mallick; Esha Choukse; Xiaoting Qin; Jue Zhang; Íñigo Goiri; Rujia Wang; Chetan Bansal; Victor Rühle; Anoop Kulkarni; Steve Kofsky; et al. (EuroMLSys, 2025)

Minerva: A Programmable Memory Test Benchmark for Language Models. - Menglin Xia; Victor Rühle; Saravan Rajmohan; Reza Shokri (CoRR, 2025)

Serving Models, Fast and Slow:Optimizing Heterogeneous LLM Inferencing Workloads at Scale. - Shashwat Jaiswal; Kunal Jain; Yogesh Simmhan; Anjaly Parayil; Ankur Mallick; Rujia Wang; Renée St. Amant; Chetan Bansal; Victor Rühle; Anoop Kulkarni; Steve Kofsky; Saravan Rajmohan (CoRR, 2025)

Exploring How LLMs Capture and Represent Domain-Specific Knowledge. - Mirian Hipolito Garcia; Camille Couturier; Daniel Madrigal Diaz; Ankur Mallick; Anastasios Kyrillidis; Robert Sim; Victor Rühle; Saravan Rajmohan (CoRR, 2025)

Semantic Caching of Contextual Summaries for Efficient Question-Answering with Language Models. - Camille Couturier; Spyros Mastorakis; Haiying Shen; Saravan Rajmohan; Victor Rühle (CoRR, 2025)

Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search. - Dongge Han; Menglin Xia; Daniel Madrigal Diaz; Samuel Kessler; Ankur Mallick; Xuchao Zhang; Mirian del Carmen Hipolito Garcia; Jin Xu; Victor Rühle; Saravan Rajmohan (CoRR, 2025)

BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute. - Dujian Ding; Ankur Mallick; Shaokun Zhang; Chi Wang 001; Daniel Madrigal; Mirian del Carmen Hipolito Garcia; Menglin Xia; Laks V. S. Lakshmanan; Qingyun Wu; Victor Rühle (CoRR, 2025)

OdysseyBench: Evaluating LLM Agents on Long-Horizon Complex Office Application Workflows. - Weixuan Wang; Dongge Han; Daniel Madrigal Diaz; Jin Xu; Victor Rühle; Saravan Rajmohan (CoRR, 2025)