Stefan Schoepf

According to our database, Stefan Schoepf authored at least 11 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

ConDa: Fast Federated Unlearning with Contribution Dampening.

Vikram S. Chundawat, Pushkar Niroula, Prasanna Dhungana, Stefan Schoepf, Murari Mandal, Alexandra Brintrup

CoRR, 2024

Attack Atlas: A Practitioner's Perspective on Challenges and Pitfalls in Red Teaming GenAI.

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

CoRR, 2024

Potion: Towards Poison Unlearning.

Stefan Schoepf, Jack Foster, Alexandra Brintrup

CoRR, 2024

Parameter-tuning-free data entry error unlearning with adaptive selective synaptic dampening.

Stefan Schoepf, Jack Foster, Alexandra Brintrup

CoRR, 2024

Zero-Shot Machine Unlearning at Scale via Lipschitz Regularization.

Jack Foster, Kyle Fogarty, Stefan Schoepf, Cengiz Öztireli, Alexandra Brintrup

CoRR, 2024

Loss-Free Machine Unlearning.

Jack Foster, Stefan Schoepf, Alexandra Brintrup

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

Fast Machine Unlearning without Retraining through Selective Synaptic Dampening.

Jack Foster, Stefan Schoepf, Alexandra Brintrup

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

AgentChat: Multi-Agent Collaborative Logistics for Carbon Reduction.

Liming Xu, Stephen Mak, Stefan Schoepf, Michael Ostroumov, Alexandra Brintrup

CoRR, 2023

Implementation of Autonomous Supply Chains for Digital Twinning: a Multi-Agent Approach.

Liming Xu, Yaniv Proselkov, Stefan Schoepf, David Minarsch, Maria Minaricova, Alexandra Brintrup

CoRR, 2023

Identifying contributors to supply chain outcomes in a multi-echelon setting: a decentralised approach.

Stefan Schoepf, Jack Foster, Alexandra Brintrup

CoRR, 2023

Unlocking Carbon Reduction Potential with Reinforcement Learning for the Three-Dimensional Loading Capacitated Vehicle Routing Problem.

Stefan Schoepf, Stephen Mak, Julian Senoner, Liming Xu, Torbjørn H. Netland, Alexandra Brintrup

CoRR, 2023