Track Me If You Can: On the Effectiveness of Context-based Identifier Changes in Deployed Mobile Networks. - Laurent Bindschaedler; Murtuza Jadliwala; Igor Bilogrevic; Imad Aad; Philip Ginzboorg; Valtteri Niemi; Jean-Pierre Hubaux (NDSS, 2012)

Big Brother Knows Your Friends: On Privacy of Social Communities in Pervasive Networks. - Igor Bilogrevic; Murtuza Jadliwala; István Lám; Imad Aad; Philip Ginzboorg; Valtteri Niemi; Laurent Bindschaedler; Jean-Pierre Hubaux (Pervasive, 2012)

Chaos: scale-out graph processing from secondary storage. - Amitabha Roy 002; Laurent Bindschaedler; Jasmina Malicevic; Willy Zwaenepoel (SOSP, 2015)

Rock you like a hurricane: taming skew in large scale analytics. - Laurent Bindschaedler; Jasmina Malicevic; Nicolas Schiper; Ashvin Goel; Willy Zwaenepoel (EuroSys, 2018)

Hailstorm: Disaggregated Compute and Storage for Distributed LSM-based Databases. - Laurent Bindschaedler; Ashvin Goel; Willy Zwaenepoel (ASPLOS, 2020)

An Architecture for Load Balance in Computer Cluster Applications. - Laurent Bindschaedler (2020)

Tesseract: distributed, general graph pattern mining on evolving graphs. - Laurent Bindschaedler; Jasmina Malicevic; Baptiste Lepers; Ashvin Goel; Willy Zwaenepoel (EuroSys, 2021)

Towards a Benchmark for Learned Systems. - Laurent Bindschaedler; Andreas Kipf; Tim Kraska; Ryan Marcus; Umar Farooq Minhas (ICDE Workshops, 2021)

Unshackling Database Benchmarking from Synthetic Workloads. - Parimarjan Negi; Laurent Bindschaedler; Mohammad Alizadeh; Tim Kraska; Jyoti Leeka; Anja Gruenheid; Matteo Interlandi (ICDE, 2023)

AlterEgo: A Dedicated Blockchain Node For Analytics. - Qi Guo; Mahdi Alizadeh; Ali Falahati; Laurent Bindschaedler (EdgeSys@EuroSys, 2024)

Towards Reliable Latent Knowledge Estimation in LLMs: In-Context Learning vs. Prompting Based Factual Knowledge Extraction. - Qinyuan Wu; Mohammad Aflah Khan; Soumi Das; Vedant Nanda; Bishwamittra Ghosh; Camila Kolling; Till Speicher; Laurent Bindschaedler; Krishna P. Gummadi; Evimaria Terzi (CoRR, 2024)

The Case for Instance-Optimized LLMs in OLAP Databases. - Bardia Mohammadi; Laurent Bindschaedler (DOLAP, 2025)

May the Memory Be With You: Efficient and Infinitely Updatable State for Large Language Models. - Excel Chukwu; Laurent Bindschaedler (EuroMLSys, 2025)

Everything You Wanted to Know About Graph Neural Network Partitioning (But Were Afraid to Ask). - Chongyang Xu; Laurent Bindschaedler (GRADES/NDA, 2025)

Towards Reliable Latent Knowledge Estimation in LLMs: Zero-Prompt Many-Shot Based Factual Knowledge Extraction. - Qinyuan Wu; Mohammad Aflah Khan; Soumi Das; Vedant Nanda; Bishwamittra Ghosh; Camila Kolling; Till Speicher; Laurent Bindschaedler; Krishna P. Gummadi; Evimaria Terzi (WSDM, 2025)

LoRACode: LoRA Adapters for Code Embeddings. - Saumya Chaturvedi; Aman Chadha; Laurent Bindschaedler (CoRR, 2025)