Differentially Private Language Models for Secure Data Sharing. - Justus Mattern; Zhijing Jin 001; Benjamin Weggenmann; Bernhard Schölkopf; Mrinmaya Sachan (EMNLP, 2022)

The Limits of Word Level Differential Privacy. - Justus Mattern; Benjamin Weggenmann; Florian Kerschbaum (NAACL-HLT (Findings), 2022)

DP-VAE: Human-Readable Text Anonymization for Online Reviews with Differentially Private Variational Autoencoders. - Benjamin Weggenmann; Valentin Rublack; Michael Andrejczuk; Justus Mattern; Florian Kerschbaum (WWW, 2022)

Measuring the Impact of (Psycho-)Linguistic and Readability Features and Their Spill Over Effects on the Prediction of Eye Movement Patterns. - Daniel Wiechmann; Yu Qiao 005; Elma Kerz; Justus Mattern (CoRR, 2022)

Understanding Stereotypes in Language Models: Towards Robust Measurement and Zero-Shot Debiasing. - Justus Mattern; Zhijing Jin 001; Mrinmaya Sachan; Rada Mihalcea; Bernhard Schölkopf (CoRR, 2022)

Membership Inference Attacks against Language Models via Neighbourhood Comparison. - Justus Mattern; Fatemehsadat Mireshghallah; Zhijing Jin 001; Bernhard Schölkopf; Mrinmaya Sachan; Taylor Berg-Kirkpatrick (ACL (Findings), 2023)

Unique Identification of 50, 000+ Virtual Reality Users from Head & Hand Motion Data. - Vivek Nair; Wenbo Guo 002; Justus Mattern; Rui Wang 110; James F. O'Brien; Louis B. Rosenberg; Dawn Song (USENIX Security Symposium, 2023)

Psychologically-Inspired Causal Prompts. - Zhiheng Lyu; Zhijing Jin 001; Justus Mattern; Rada Mihalcea; Mrinmaya Sachan; Bernhard Schölkopf (CoRR, 2023)

Smaller Language Models are Better Black-box Machine-Generated Text Detectors. - Fatemehsadat Mireshghallah; Justus Mattern; Sicun Gao; Reza Shokri; Taylor Berg-Kirkpatrick (CoRR, 2023)

Smaller Language Models are Better Zero-shot Machine-Generated Text Detectors. - Niloofar Mireshghallah; Justus Mattern; Sicun Gao; Reza Shokri; Taylor Berg-Kirkpatrick (EACL (2), 2024)

Causally Testing Gender Bias in LLMs: A Case Study on Occupational Bias. - Yuen Chen; Vethavikashini Chithrra Raghuram; Justus Mattern; Rada Mihalcea; Zhijing Jin 001 (NAACL (Findings), 2025)

INTELLECT-2: A Reasoning Model Trained Through Globally Decentralized Reinforcement Learning. - Prime Intellect Team; Sami Jaghouar; Justus Mattern; Jack Min Ong; Jannik Straube; Manveer Basra; Aaron Pazdera; Kushal Thaman; Matthew Di Ferrante; Felix Gabriel; Fares Obeid; Kemal Erdem; et al. (CoRR, 2025)