Siddiqui, Shoaib Ahmed

9 publications

NeurIPS 2025 From Dormant to Deleted: Tamper-Resistant Unlearning Through Weight-Space Regularization Shoaib Ahmed Siddiqui, Adrian Weller, David Krueger, Gintare Karolina Dziugaite, Michael Curtis Mozer, Eleni Triantafillou

TMLR 2025 Permissive Information-Flow Analysis for Large Language Models Shoaib Ahmed Siddiqui, Radhika Gaonkar, Boris Köpf, David Krueger, Andrew Paverd, Ahmed Salem, Shruti Tople, Lukas Wutschitz, Menglin Xia, Santiago Zanella-Beguelin

ICLR 2025 Protecting Against Simultaneous Data Poisoning Attacks Neel Alex, Shoaib Ahmed Siddiqui, Amartya Sanyal, David Krueger

ICMLW 2024 A Deeper Look at Depth Pruning of LLMs Shoaib Ahmed Siddiqui, Xin Dong, Greg Heinrich, Thomas Breuel, Jan Kautz, David Krueger, Pavlo Molchanov

ICLR 2023 Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics Shoaib Ahmed Siddiqui, Nitarshan Rajkumar, Tegan Maharaj, David Krueger, Sara Hooker

NeurIPSW 2022 Domain Generalization for Robust Model-Based Offline Reinforcement Learning Alan Clark, Shoaib Ahmed Siddiqui, Robert Kirk, Usman Anwar, Stephen Chung, David Krueger

NeurIPSW 2022 Domain Generalization for Robust Model-Based Offline Reinforcement Learning Alan Clark, Shoaib Ahmed Siddiqui, Robert Kirk, Usman Anwar, Stephen Chung, David Krueger

ICLR 2020 TSInsight: A Local-Global Attribution Framework for Interpretability in Time-Series Data Shoaib Ahmed Siddiqui, Dominique Mercier, Andreas Dengel, Sheraz Ahmed

ICML 2018 Deep One-Class Classification Lukas Ruff, Robert Vandermeulen, Nico Goernitz, Lucas Deecke, Shoaib Ahmed Siddiqui, Alexander Binder, Emmanuel Müller, Marius Kloft