Stefan Schoepf

22 papers A* 1Journal 20Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
An Information Theoretic Approach to Machine Unlearning.
Trans. Mach. Learn. Res.
Jack Foster, Kyle Fogarty, Stefan Schoepf, Zack Dugue, Cengiz Öztireli, Alexandra Brintrup
2025 J jnl
MAD-MAX: Modular And Diverse Malicious Attack MiXtures for Automated LLM Red Teaming.
CoRR
Stefan Schoepf, Muhammad Zaid Hameed, Ambrish Rawat, Kieran Fraser, Giulio Zizzo, Giandomenico Cornacchia, Mark Purcell
2025 J jnl
Multi-agent digital twinning for collaborative logistics: Framework and implementation.
J. Ind. Inf. Integr.
Liming Xu, Stephen Mak, Stefan Schoepf, Michael Ostroumov, Alexandra Brintrup
2025 J jnl
Random Walk Guided Hyperbolic Graph Distillation.
CoRR
Yunbo Long, Liming Xu, Stefan Schoepf, Alexandra Brintrup
2025 J jnl
Redirection for Erasing Memory (REM): Towards a universal unlearning method for corrupted data.
CoRR
Stefan Schoepf, Michael Curtis Mozer, Nicole Mitchell, Alexandra Brintrup, Georgios Kaissis, Peter Kairouz, Eleni Triantafillou
2024 J jnl
Agentic LLMs in the Supply Chain: Towards Autonomous Multi-Agent Consensus-Seeking.
CoRR
Valeria Jannelli, Stefan Schoepf, Matthias Bickel, Torbjørn H. Netland, Alexandra Brintrup
2024 J jnl
Attack Atlas: A Practitioner's Perspective on Challenges and Pitfalls in Red Teaming GenAI.
CoRR
Ambrish Rawat, Stefan Schoepf, Giulio Zizzo, Giandomenico Cornacchia, Muhammad Zaid Hameed, Kieran Fraser, Erik Miehling, Beat Buesser, Elizabeth M. Daly, Mark Purcell, Prasanna Sattigeri, Pin-Yu Chen, Kush R. Varshney
2024 J jnl
ConDa: Fast Federated Unlearning with Contribution Dampening.
CoRR
Vikram S. Chundawat, Pushkar Niroula, Prasanna Dhungana, Stefan Schoepf, Murari Mandal, Alexandra Brintrup
2024 A* conf
Fast Machine Unlearning without Retraining through Selective Synaptic Dampening.
AAAI
Jack Foster, Stefan Schoepf, Alexandra Brintrup
2024 J jnl
Identifying Contributors to Supply Chain Outcomes in a Multiechelon Setting: A Decentralised Approach.
IEEE Trans. Ind. Informatics
Stefan Schoepf, Jack Foster, Alexandra Brintrup
2024 J jnl
Learning to Forget using Hypernetworks.
CoRR
Jose Miguel Lara Rangel, Stefan Schoepf, Jack Foster, David Krueger, Usman Anwar
2024 — conf
Loss-Free Machine Unlearning.
Tiny Papers @ ICLR
Jack Foster, Stefan Schoepf, Alexandra Brintrup
2024 J jnl
Loss-Free Machine Unlearning.
CoRR
Jack Foster, Stefan Schoepf, Alexandra Brintrup
2024 J jnl
Parameter-tuning-free data entry error unlearning with adaptive selective synaptic dampening.
CoRR
Stefan Schoepf, Jack Foster, Alexandra Brintrup
2024 J jnl
Potion: Towards Poison Unlearning.
CoRR
Stefan Schoepf, Jack Foster, Alexandra Brintrup
2024 J jnl
Potion: Towards Poison Unlearning.
J. Data-centric Mach. Learn. Res.
Stefan Schoepf, Jack Foster, Alexandra Brintrup
2024 J jnl
Zero-Shot Machine Unlearning at Scale via Lipschitz Regularization.
CoRR
Jack Foster, Kyle Fogarty, Stefan Schoepf, Cengiz Öztireli, Alexandra Brintrup
2023 J jnl
AgentChat: Multi-Agent Collaborative Logistics for Carbon Reduction.
CoRR
Liming Xu, Stephen Mak, Stefan Schoepf, Michael Ostroumov, Alexandra Brintrup
2023 J jnl
Fast Machine Unlearning Without Retraining Through Selective Synaptic Dampening.
CoRR
Jack Foster, Stefan Schoepf, Alexandra Brintrup
2023 J jnl
Identifying contributors to supply chain outcomes in a multi-echelon setting: a decentralised approach.
CoRR
Stefan Schoepf, Jack Foster, Alexandra Brintrup
2023 J jnl
Implementation of Autonomous Supply Chains for Digital Twinning: a Multi-Agent Approach.
CoRR
Liming Xu, Yaniv Proselkov, Stefan Schoepf, David Minarsch, Maria Minaricova, Alexandra Brintrup
2023 J jnl
Unlocking Carbon Reduction Potential with Reinforcement Learning for the Three-Dimensional Loading Capacitated Vehicle Routing Problem.
CoRR
Stefan Schoepf, Stephen Mak, Julian Senoner, Liming Xu, Torbjørn H. Netland, Alexandra Brintrup