Mani Malek - RankMe

12 papers A 1C 1Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Hiding in Plain Text: Detecting Concealed Jailbreaks via Activation Disentanglement. CoRR Amirhossein Farzam, Majid Behabahani, Mani Malek, Yuriy Nevmyvaka, Guillermo Sapiro
2026	J	`jnl`	Interpreting and Controlling Model Behavior via Constitutions for Atomic Concept Edits. CoRR Neha Kalibhat, Zi Wang, Prasoon Bajpai, Drew Proud, Wenjun Zeng, Been Kim, Mani Malek
2025	J	`jnl`	ShieldGemma 2: Robust and Tractable Image Content Moderation. CoRR Wenjun Zeng, Dana Kurniawan, Ryan Mullins, Yuchi Liu, Tamoghna Saha, Dirichi Ike-Njoku, Jindong Gu, Yiwen Song, Cai Xu, Jingjing Zhou, Aparna Joshi, Shravan Dheep, Mani Malek, Hamid Palangi, Joon Baek, Rick Pereira, Karthik Narasimhan
2023	J	`jnl`	Federated Ensemble Learning: Increasing the Capacity of Label Private Recommendation Systems. IEEE Data Eng. Bull. Meisam Hejazinia, Dzmitry Huba, Ilias Leontiadis, Kiwan Maeng, Mani Malek, Luca Melis, Ilya Mironov, Milad Nasr, Kaikai Wang, Carole-Jean Wu
2023	C	`conf`	Joint Federated Learning and Personalization for on-Device ASR. ASRU Junteng Jia, Ke Li, Mani Malek, Kshitiz Malik, Jay Mahadeokar, Ozlem Kalinli, Frank Seide
2022	J	`jnl`	FEL: High Capacity Learning for Recommendation and Ranking via Federated Ensemble Learning. CoRR Meisam Hejazinia, Dzmitry Huba, Ilias Leontiadis, Kiwan Maeng, Mani Malek, Luca Melis, Ilya Mironov, Milad Nasr, Kaikai Wang, Carole-Jean Wu
2022	A	`conf`	Federated Learning with Buffered Asynchronous Aggregation. AISTATS John Nguyen, Kshitiz Malik, Hongyuan Zhan, Ashkan Yousefpour, Mike Rabbat, Mani Malek, Dzmitry Huba
2022	—	`conf`	PAPAYA: Practical, Private, and Scalable Federated Learning. MLSys Dzmitry Huba, John Nguyen, Kshitiz Malik, Ruiyu Zhu, Mike Rabbat, Ashkan Yousefpour, Carole-Jean Wu, Hongyuan Zhan, Pavel Ustinov, Harish Srinivas, Kaikai Wang, Anthony Shoumikhin, Jesik Min, Mani Malek
2021	J	`jnl`	Antipodes of Label Differential Privacy: PATE and ALIBI. CoRR Mani Malek, Ilya Mironov, Karthik Prasad, Igor Shilov, Florian Tramèr
2021	J	`jnl`	Federated Learning with Buffered Asynchronous Aggregation. CoRR John Nguyen, Kshitiz Malik, Hongyuan Zhan, Ashkan Yousefpour, Michael G. Rabbat, Mani Malek, Dzmitry Huba
2021	J	`jnl`	Opacus: User-Friendly Differential Privacy Library in PyTorch. CoRR Ashkan Yousefpour, Igor Shilov, Alexandre Sablayrolles, Davide Testuggine, Karthik Prasad, Mani Malek, John Nguyen, Sayan Ghosh, Akash Bharadwaj, Jessica Zhao, Graham Cormode, Ilya Mironov
2021	J	`jnl`	Papaya: Practical, Private, and Scalable Federated Learning. CoRR Dzmitry Huba, John Nguyen, Kshitiz Malik, Ruiyu Zhu, Mike Rabbat, Ashkan Yousefpour, Carole-Jean Wu, Hongyuan Zhan, Pavel Ustinov, Harish Srinivas, Kaikai Wang, Anthony Shoumikhin, Jesik Min, Mani Malek