Saeed Mahloujifar

Saeed Mahloujifar

Princeton University

H-index: 19

North America-United States

About Saeed Mahloujifar

Saeed Mahloujifar, With an exceptional h-index of 19 and a recent h-index of 19 (since 2020), a distinguished researcher at Princeton University, specializes in the field of Privacy, Adversarial ML, Cryptography, Computational Complexity.

His recent articles reflect a diverse array of research interests and contributions to the field:

Guarantees of confidentiality via Hammersley-Chapman-Robbins bounds

Privacy Amplification for the Gaussian Mechanism via Bounded Support

A Randomized Approach to Tight Privacy Accounting

Bounding training data reconstruction in dp-sgd

Private fine-tuning of large language models with zeroth-order optimization

Horus: Granular {In-Network} Task Scheduler for Cloud Datacenters

A New Linear Scaling Rule for Differentially Private Hyperparameter Optimization

Experimenting with zero-knowledge proofs of training

Saeed Mahloujifar Information

University

Position

___

Citations(all)

1156

Citations(since 2020)

1141

Cited By

245

hIndex(all)

19

hIndex(since 2020)

19

i10Index(all)

27

i10Index(since 2020)

26

Email

University Profile Page

Google Scholar

Saeed Mahloujifar Skills & Research Interests

Privacy

Adversarial ML

Cryptography

Computational Complexity

Top articles of Saeed Mahloujifar

Guarantees of confidentiality via Hammersley-Chapman-Robbins bounds

arXiv preprint arXiv:2404.02866

2024/4/3

Privacy Amplification for the Gaussian Mechanism via Bounded Support

arXiv preprint arXiv:2403.05598

2024/3/7

A Randomized Approach to Tight Privacy Accounting

Advances in Neural Information Processing Systems

2024/2/13

Bounding training data reconstruction in dp-sgd

Advances in Neural Information Processing Systems

2024/2/13

Jamie Hayes
Jamie Hayes

H-Index: 11

Saeed Mahloujifar
Saeed Mahloujifar

H-Index: 8

Private fine-tuning of large language models with zeroth-order optimization

arXiv preprint arXiv:2401.04343

2024/1/9

Horus: Granular {In-Network} Task Scheduler for Cloud Datacenters

2024

A New Linear Scaling Rule for Differentially Private Hyperparameter Optimization

2023/12/12

Experimenting with zero-knowledge proofs of training

2023/11/15

Publicly detectable watermarking for language models

arXiv preprint arXiv:2310.18491

2023/10/27

Machine Learning with Feature Differential Privacy

2023/7/21

Multirobustbench: Benchmarking robustness against multiple attacks

2023/7/3

Effectively using public data in privacy preserving machine learning

2023/7/3

Differentially Private Generation of High Fidelity Samples From Diffusion Models

2023/6/23

ObjectSeeker: Certifiably robust object detection against patch hiding attacks via patch-agnostic masking

2023/5/21

Uncovering adversarial risks of test-time adaptation

International Conference on Machine Learning (ICML), 2023

2023/1/29

Towards a proactive {ML} approach for detecting backdoor poison samples

2023

Machine learning with differentially private labels: Mechanisms and frameworks

Proceedings on Privacy Enhancing Technologies

2022

Mitigating membership inference attacks by {Self-Distillation} through a novel ensemble architecture

2022

{PatchCleanser}: Certifiably robust defense against adversarial patches for any image classifier

2022

Dp-raft: A differentially private recipe for accelerated fine-tuning

arXiv preprint arXiv:2212.04486

2022/12/8

See List of Professors in Saeed Mahloujifar University(Princeton University)

Co-Authors

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