Houmansadr, Amir

10 publications

TMLR 2026 ULTra: Unveiling Latent Token Interpretability in Transformer-Based Understanding and Segmentation Hesam Hosseini, Ghazal Hosseini Mighan, Amirabbas Afzali, Sajjad Amini, Amir Houmansadr

AAAI 2025 Improving Private Random Forest Prediction Using Matrix Representation Arisa Tajima, Joie Wu, Amir Houmansadr

ICLRW 2025 ULTra: Unveiling Latent Token Interpretability in Transformer-Based Understanding Hesam Hosseini, Ghazal Hosseini Mighan, Amirabbas Afzali, Sajjad Amini, Amir Houmansadr

NeurIPS 2024 OSLO: One-Shot Label-Only Membership Inference Attacks Yuefeng Peng, Jaechul Roh, Subhransu Maji, Amir Houmansadr

NeurIPSW 2024 Variational Inference in Similarity Spaces: A Bayesian Approach to Personalized Federated Learning Pedro H Barros, Fabricio Murai, Amir Houmansadr, Alejandro C. Frery, Heitor Soares Ramos Filho

ICML 2023 Effectively Using Public Data in Privacy Preserving Machine Learning Milad Nasr, Saeed Mahloujifar, Xinyu Tang, Prateek Mittal, Amir Houmansadr

ICCV 2023 The Perils of Learning from Unlabeled Data: Backdoor Attacks on Semi-Supervised Learning Virat Shejwalkar, Lingjuan Lyu, Amir Houmansadr

NeurIPSW 2021 A Novel Self-Distillation Architecture to Defeat Membership Inference Attacks Xinyu Tang, Saeed Mahloujifar, Liwei Song, Virat Shejwalkar, Milad Nasr, Amir Houmansadr, Prateek Mittal

NeurIPSW 2021 Membership Inference Attacks Against NLP Classification Models Virat Shejwalkar, Huseyin A Inan, Amir Houmansadr, Robert Sim

AAAI 2021 Membership Privacy for Machine Learning Models Through Knowledge Transfer Virat Shejwalkar, Amir Houmansadr