Muhammad Ahmad Kaleem

According to our database, Muhammad Ahmad Kaleem authored at least 8 papers between 2022 and 2024.

Collaborative distances:

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

2024

Subset Adaptive Relaying for Streaming Erasure Codes.

Muhammad Ahmad Kaleem, Gustavo Kasper Facenda, Ashish Khisti

CoRR, 2024

Memorization in Self-Supervised Learning Improves Downstream Generalization.

Wenhao Wang, Muhammad Ahmad Kaleem, Adam Dziedzic, Michael Backes, Nicolas Papernot, Franziska Boenisch

CoRR, 2024

2023

Private Multi-Winner Voting for Machine Learning.

Adam Dziedzic, Christopher A. Choquette-Choo, Natalie Dullerud, Vinith M. Suriyakumar, Ali Shahin Shamsabadi, Muhammad Ahmad Kaleem, Somesh Jha, Nicolas Papernot, Xiao Wang

Proc. Priv. Enhancing Technol., January, 2023

Robust and Actively Secure Serverless Collaborative Learning.

Olive Franzese, Adam Dziedzic, Christopher A. Choquette-Choo, Mark R. Thomas, Muhammad Ahmad Kaleem, Stephan Rabanser, Congyu Fang, Somesh Jha, Nicolas Papernot, Xiao Wang

CoRR, 2023

Robust and Actively Secure Serverless Collaborative Learning.

Nicholas Franzese, Adam Dziedzic, Christopher A. Choquette-Choo, Mark R. Thomas, Muhammad Ahmad Kaleem, Stephan Rabanser, Congyu Fang, Somesh Jha, Nicolas Papernot, Xiao Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Dataset Inference for Self-Supervised Models.

Adam Dziedzic, Haonan Duan, Muhammad Ahmad Kaleem, Nikita Dhawan, Jonas Guan, Yannis Cattan, Franziska Boenisch, Nicolas Papernot

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On the Difficulty of Defending Self-Supervised Learning against Model Extraction.

Adam Dziedzic, Nikita Dhawan, Muhammad Ahmad Kaleem, Jonas Guan, Nicolas Papernot

Proceedings of the International Conference on Machine Learning, 2022

Increasing the Cost of Model Extraction with Calibrated Proof of Work.

Adam Dziedzic, Muhammad Ahmad Kaleem, Yu Shen Lu, Nicolas Papernot

Proceedings of the Tenth International Conference on Learning Representations, 2022