Amir Houmansadr

Amir Houmansadr

University of Massachusetts Amherst

H-index: 40

North America-United States

About Amir Houmansadr

Amir Houmansadr, With an exceptional h-index of 40 and a recent h-index of 33 (since 2020), a distinguished researcher at University of Massachusetts Amherst, specializes in the field of Privacy-enhancing technologies, Trustworthy ML, Network traffic analysis.

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

Fake or Compromised? Making Sense of Malicious Clients in Federated Learning

SoK: Challenges and Opportunities in Federated Unlearning

Iteratively Prompting Multimodal LLMs to Reproduce Natural and AI-Generated Images

Optimal Obfuscation to Protect Client Privacy in Federated Learning

Where Have All the Paragraphs Gone? Detecting and Exposing Censorship in Chinese Translation

Effectively using public data in privacy preserving machine learning

Stealing the decoding algorithms of language models

Automated Detection of IPv6 Privacy Leakage in Home Networks

Amir Houmansadr Information

University

Position

___

Citations(all)

6347

Citations(since 2020)

4561

Cited By

2977

hIndex(all)

40

hIndex(since 2020)

33

i10Index(all)

73

i10Index(since 2020)

60

Email

University Profile Page

University of Massachusetts Amherst

Google Scholar

View Google Scholar Profile

Amir Houmansadr Skills & Research Interests

Privacy-enhancing technologies

Trustworthy ML

Network traffic analysis

Top articles of Amir Houmansadr

Title

Journal

Author(s)

Publication Date

Fake or Compromised? Making Sense of Malicious Clients in Federated Learning

arXiv preprint arXiv:2403.06319

Hamid Mozaffari

Sunav Choudhary

Amir Houmansadr

2024/3/10

SoK: Challenges and Opportunities in Federated Unlearning

Hyejun Jeong

Shiqing Ma

Amir Houmansadr

2024/3/4

Iteratively Prompting Multimodal LLMs to Reproduce Natural and AI-Generated Images

arXiv preprint arXiv:2404.13784

Ali Naseh

Katherine Thai

Mohit Iyyer

Amir Houmansadr

2024/4/21

Optimal Obfuscation to Protect Client Privacy in Federated Learning

Bo Guan

Shuangqing Wei

Amir Houmansadr

Hossein Pishro-Nik

Dennis Goeckel

2024/3

Where Have All the Paragraphs Gone? Detecting and Exposing Censorship in Chinese Translation

Free and Open Communications on the Internet

Mizhang Streisand

Eric Wustrow

Amir Houmansadr

2023

Effectively using public data in privacy preserving machine learning

Milad Nasr

Saeed Mahloujifar

Xinyu Tang

Prateek Mittal

Amir Houmansadr

2023/7/3

Stealing the decoding algorithms of language models

Ali Naseh

Kalpesh Krishna

Mohit Iyyer

Amir Houmansadr

2023/3/8

Automated Detection of IPv6 Privacy Leakage in Home Networks

Free and Open Communications on the Internet

Ali Zohaib

Amir Houmansadr

2023

On the pitfalls of security evaluation of robust federated learning

Momin Ahmad Khan

Virat Shejwalkar

Amir Houmansadr

Fatima M Anwar

2023/5/25

Realistic Website Fingerprinting By Augmenting Network Traces

Alireza Bahramali

Ardavan Bozorgi

Amir Houmansadr

2023/11/15

The perils of learning from unlabeled data: Backdoor attacks on semi-supervised learning

International Conference on Computer Vision (ICCV)

Virat Shejwalkar

Lingjuan Lyu

Amir Houmansadr

2023

On the risks of stealing the decoding algorithms of language models

arXiv preprint arXiv:2303.04729

Ali Naseh

Kalpesh Krishna

Mohit Iyyer

Amir Houmansadr

2023/3/8

RAIFLE: Reconstruction Attacks on Interaction-based Federated Learning with Active Data Manipulation

arXiv preprint arXiv:2310.19163

Dzung Pham

Shreyas Kulkarni

Amir Houmansadr

2023/10/29

Diffence: Fencing Membership Privacy With Diffusion Models

arXiv preprint arXiv:2312.04692

Yuefeng Peng

Ali Naseh

Amir Houmansadr

2023/12/7

Every Vote Counts:{Ranking-Based} Training of Federated Learning to Resist Poisoning Attacks

Hamid Mozaffari

Virat Shejwalkar

Amir Houmansadr

2023

Investigating Traffic Analysis Attacks on Apple iCloud Private Relay

Ali Zohaib

Jade Sheffey

Amir Houmansadr

2023/7/10

Understanding (Un) Intended Memorization in Text-to-Image Generative Models

arXiv preprint arXiv:2312.07550

Ali Naseh

Jaechul Roh

Amir Houmansadr

2023/12/6

How the Great Firewall of China detects and blocks fully encrypted traffic

Mingshi Wu

Jackson Sippe

Danesh Sivakumar

Jack Burg

Peter Anderson

...

2023

Location privacy protection for UAVs in package delivery and IoT data collection

IEEE Internet of Things Journal

Saeede Enayati

Dennis Goeckel

Amir Houmansadr

Hossein Pishro-Nik

2023/7/7

Memory Triggers: Unveiling Memorization in Text-To-Image Generative Models through Word-Level Duplication

arXiv preprint arXiv:2312.03692

Ali Naseh

Jaechul Roh

Amir Houmansadr

2023/12/6

See List of Professors in Amir Houmansadr University(University of Massachusetts Amherst)

Co-Authors

H-index: 142
Don Towsley

Don Towsley

University of Massachusetts Amherst

H-index: 57
Brian Neil Levine

Brian Neil Levine

University of Massachusetts Amherst

H-index: 50
Nikita Borisov

Nikita Borisov

University of Illinois at Urbana-Champaign

H-index: 42
Matthew Caesar

Matthew Caesar

University of Illinois at Urbana-Champaign

H-index: 40
Andrew C. Singer

Andrew C. Singer

University of Illinois at Urbana-Champaign

H-index: 40
Prof. Wojciech Mazurczyk

Prof. Wojciech Mazurczyk

Politechnika Warszawska

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