Saeed Mahloujifar
22 papers · 2018–2025 · 6 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 4 separate collaboration groups - the largest holds only 45% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Saeed Mahloujifar?
2 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Prateek Mittal, Vikash Sehwag, Sihui Dai
10 papers
· 2022–2024
· ICML, NeurIPS, ICLR
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A New Linear Scaling Rule for Private Adaptive Hyperparameter Optimization
ICML 2024
A Randomized Approach to Tight Privacy Accounting
NeurIPS 2023
Effectively Using Public Data in Privacy Preserving Machine Learning
ICML 2023
MultiRobustBench: Benchmarking Robustness Against Multiple Attacks
ICML 2023
Revisiting the Assumption of Latent Separability for Backdoor Defenses
ICLR 2023
Uncovering Adversarial Risks of Test-Time Adaptation
ICML 2023
Formulating Robustness Against Unforeseen Attacks
NeurIPS 2022
Renyi Differential Privacy of Propose-Test-Release and Applications to Private and Robust Machine Learning
NeurIPS 2022
Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness?
ICLR 2022
SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification
AISTATS 2022