Mahmoody, Mohammad

10 publications

NeurIPS 2022 On Optimal Learning Under Targeted Data Poisoning Steve Hanneke, Amin Karbasi, Mohammad Mahmoody, Idan Mehalel, Shay Moran

NeurIPS 2022 Overparameterization from Computational Constraints Sanjam Garg, Somesh Jha, Saeed Mahloujifar, Mohammad Mahmoody, Mingyuan Wang

NeurIPS 2021 A Separation Result Between Data-Oblivious and Data-Aware Poisoning Attacks Samuel Deng, Sanjam Garg, Somesh Jha, Saeed Mahloujifar, Mohammad Mahmoody, Abhradeep Guha Thakurta

UAI 2021 Learning and Certification Under Instance-Targeted Poisoning Ji Gao, Amin Karbasi, Mohammad Mahmoody

ALT 2019 Can Adversarially Robust Learning LeverageComputational Hardness? Saeed Mahloujifar, Mohammad Mahmoody

NeurIPS 2019 Empirically Measuring Concentration: Fundamental Limits on Intrinsic Robustness Saeed Mahloujifar, Xiao Zhang, Mohammad Mahmoody, David Evans

AAAI 2019 The Curse of Concentration in Robust Learning: Evasion and Poisoning Attacks from Concentration of Measure Saeed Mahloujifar, Dimitrios I. Diochnos, Mohammad Mahmoody

ICML 2019 Universal Multi-Party Poisoning Attacks Saeed Mahloujifar, Mohammad Mahmoody, Ameer Mohammed

NeurIPS 2018 Adversarial Risk and Robustness: General Definitions and Implications for the Uniform Distribution Dimitrios Diochnos, Saeed Mahloujifar, Mohammad Mahmoody

ALT 2018 Learning Under $p$-Tampering Attacks Saeed Mahloujifar, Dimitrios I. Diochnos, Mohammad Mahmoody