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Workshop
Concept Unlearning for Large Language Models
Tomoya Yamashita · Takayuki Miura · Yuuki Yamanaka · Toshiki Shibahara · Masanori Yamada
Workshop
Scalability of memorization-based machine unlearning
KAIRAN ZHAO · Peter Triantafillou
Workshop
Towards Robust and Cost-Efficient Knowledge Unlearning for Large Language Models
Sungmin Cha · Sungjun Cho · Dasol Hwang · Moontae Lee
Workshop
Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning
Chongyu Fan · Jiancheng Liu · Licong Lin · Jinghan Jia · Ruiqi Zhang · Song Mei · Sijia Liu
Workshop
MU-Bench: A Multitask Multimodal Benchmark for Machine Unlearning
Jiali Cheng · Hadi Amiri
Workshop
Attention Shift: Steering AI Away from Unsafe Content
Shivank Garg · Manyana Tiwari
Workshop
Learning to Forget using Diffusion Hypernetworks
Jose Miguel Lara Rangel · Usman Anwar · Stefan Schoepf · Jack Foster · David Krueger
Workshop
NegMerge: Consensual Weight Negation for Strong Machine Unlearning
Hyoseo Kim · Dongyoon Han · Junsuk Choe
Workshop
Variational Diffusion Unlearning: a variational inference framework for unlearning in diffusion models
Subhodip Panda · M S Varun · Shreyans Jain · Sarthak Kumar Maharana · Prathosh AP
Workshop
Extracting Unlearned Information from LLMs with Activation Steering
Atakan Seyitoğlu · Aleksei Kuvshinov · Leo Schwinn · Stephan Günnemann
Workshop
Unlearning Tabular Data Without a "Forget Set''
Aviraj Newatia · Michael Cooper · Rahul Krishnan
Workshop
Provable unlearning in topic modeling and downstream tasks
Stanley Wei · Sadhika Malladi · Sanjeev Arora · Amartya Sanyal