Hamed Hassani

Hamed Hassani

University of Pennsylvania

H-index: 43

North America-United States

About Hamed Hassani

Hamed Hassani, With an exceptional h-index of 43 and a recent h-index of 38 (since 2020), a distinguished researcher at University of Pennsylvania, specializes in the field of Machine Learning, Coding and Information Theory, Graphical Models.

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

Approaching Rate-Distortion Limits in Neural Compression with Lattice Transform Coding

Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling

Neural Compression with Lattice Transform Coding

Model-based robust deep learning

Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing

Uncertainty in Language Models: Assessment through Rank-Calibration

Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Hamed Hassani Information

University

Position

___

Citations(all)

6156

Citations(since 2020)

4968

Cited By

2603

hIndex(all)

43

hIndex(since 2020)

38

i10Index(all)

83

i10Index(since 2020)

75

Email

University Profile Page

University of Pennsylvania

Google Scholar

View Google Scholar Profile

Hamed Hassani Skills & Research Interests

Machine Learning

Coding and Information Theory

Graphical Models

Top articles of Hamed Hassani

Title

Journal

Author(s)

Publication Date

Approaching Rate-Distortion Limits in Neural Compression with Lattice Transform Coding

arXiv preprint arXiv:2403.07320

Eric Lei

Hamed Hassani

Shirin Saeedi Bidokhti

2024/3/12

Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling

Arman Adibi

Nicolò Dal Fabbro

Luca Schenato

Sanjeev Kulkarni

H Vincent Poor

...

2024/4/18

Neural Compression with Lattice Transform Coding

International Zurich Seminar on Information and Communication (IZS 2024). Proceedings

Eric Lei

Hamed Hassani

Shirin Saeedi Bidokhti

2024/3/6

Model-based robust deep learning

2022/3/31

Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing

arXiv preprint arXiv:2402.16192

Jiabao Ji

Bairu Hou

Alexander Robey

George J Pappas

Hamed Hassani

...

2024/2/25

Uncertainty in Language Models: Assessment through Rank-Calibration

arXiv preprint arXiv:2404.03163

Xinmeng Huang

Shuo Li

Mengxin Yu

Matteo Sesia

Hamed Hassani

...

2024/4/4

Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth

arXiv preprint arXiv:2402.05013

Kevin Kögler

Alexander Shevchenko

Hamed Hassani

Marco Mondelli

2024/2/7

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

arXiv preprint arXiv:2404.01318

Patrick Chao

Edoardo Debenedetti

Alexander Robey

Maksym Andriushchenko

Francesco Croce

...

2024/3/28

Automated Black-box Prompt Engineering for Personalized Text-to-Image Generation

arXiv preprint arXiv:2403.19103

Yutong He

Alexander Robey

Naoki Murata

Yiding Jiang

Joshua Williams

...

2024/3/28

Conformal Prediction with Learned Features

arXiv preprint arXiv:2404.17487

Shayan Kiyani

George Pappas

Hamed Hassani

2024/4/26

Linear stochastic bandits over a bit-constrained channel

Aritra Mitra

Hamed Hassani

George J Pappas

2023/6/6

Toward certified robustness against real-world distribution shifts

Haoze Wu*

Teruhiro Tagomori*

Alexander Robey*

Fengjun Yang*

Nikolai Matni

...

2022/6/8

Fundamental limits of two-layer autoencoders, and achieving them with gradient methods

Aleksandr Shevchenko

Kevin Kögler

Hamed Hassani

Marco Mondelli

2023/7/3

Provable tradeoffs in adversarially robust classification

IEEE Transactions on Information Theory

Edgar Dobriban

Hamed Hassani

David Hong

Alexander Robey

2020/6/9

Jailbreaking black box large language models in twenty queries

arXiv preprint arXiv:2310.08419

Patrick Chao

Alexander Robey

Edgar Dobriban

Hamed Hassani

George J Pappas

...

2023/10/12

Federated temporal difference learning with linear function approximation under environmental heterogeneity

arXiv preprint arXiv:2302.02212

Han Wang

Aritra Mitra

Hamed Hassani

George J Pappas

James Anderson

2023/2/4

Adversarial Tradeoffs in Robust State Estimation

Thomas TCK Zhang

Bruce D Lee

Hamed Hassani

Nikolai Matni

2023/5/31

On a Relation Between the Rate-Distortion Function and Optimal Transport

arXiv preprint arXiv:2307.00246

Eric Lei

Hamed Hassani

Shirin Saeedi Bidokhti

2023/7/1

Min-Max Optimization under Delays

arXiv preprint arXiv:2307.06886

Arman Adibi

Aritra Mitra

Hamed Hassani

2023/7/13

A theory of non-linear feature learning with one gradient step in two-layer neural networks

arXiv preprint arXiv:2310.07891

Behrad Moniri

Donghwan Lee

Hamed Hassani

Edgar Dobriban

2023/10/11

See List of Professors in Hamed Hassani University(University of Pennsylvania)

Co-Authors

H-index: 137
Manfred Morari

Manfred Morari

University of Pennsylvania

H-index: 105
George J. Pappas

George J. Pappas

University of Pennsylvania

H-index: 71
Alejandro Ribeiro

Alejandro Ribeiro

University of Pennsylvania

H-index: 57
Ruediger Urbanke

Ruediger Urbanke

École Polytechnique Fédérale de Lausanne

H-index: 42
Mahdi Soltanolkotabi

Mahdi Soltanolkotabi

University of Southern California

H-index: 33
Nicolas Macris

Nicolas Macris

École Polytechnique Fédérale de Lausanne

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