Kassem Fawaz

Kassem Fawaz

University of Wisconsin-Madison

H-index: 25

North America-United States

About Kassem Fawaz

Kassem Fawaz, With an exceptional h-index of 25 and a recent h-index of 18 (since 2020), a distinguished researcher at University of Wisconsin-Madison, specializes in the field of Mobile Systems, Internet of Things, Usable Security and Privacy, Location Privacy.

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

A Picture is Worth 500 Labels: A Case Study of Demographic Disparities in Local Machine Learning Models for Instagram and TikTok

PRP: Propagating Universal Perturbations to Attack Large Language Model Guard-Rails

I see an IC: A Mixed-Methods Approach to Study Human Problem-Solving Processes in Hardware Reverse Engineering

Do Large Code Models Understand Programming Concepts? A Black-box Approach

Experimental Security Analysis of Sensitive Data Access by Browser Extensions

D4: Detection of adversarial diffusion deepfakes using disjoint ensembles

SEA: Shareable and Explainable Attribution for Query-based Black-box Attacks

The Overview of Privacy Labels and their Compatibility with Privacy Policies

Kassem Fawaz Information

University

Position

___

Citations(all)

2585

Citations(since 2020)

1855

Cited By

1291

hIndex(all)

25

hIndex(since 2020)

18

i10Index(all)

37

i10Index(since 2020)

29

Email

University Profile Page

University of Wisconsin-Madison

Google Scholar

View Google Scholar Profile

Kassem Fawaz Skills & Research Interests

Mobile Systems

Internet of Things

Usable Security and Privacy

Location Privacy

Top articles of Kassem Fawaz

Title

Journal

Author(s)

Publication Date

A Picture is Worth 500 Labels: A Case Study of Demographic Disparities in Local Machine Learning Models for Instagram and TikTok

arXiv preprint arXiv:2403.19717

Jack West

Lea Thiemt

Shimaa Ahmed

Maggie Bartig

Kassem Fawaz

...

2024/3/27

PRP: Propagating Universal Perturbations to Attack Large Language Model Guard-Rails

arXiv preprint arXiv:2402.15911

Neal Mangaokar

Ashish Hooda

Jihye Choi

Shreyas Chandrashekaran

Kassem Fawaz

...

2024/2/24

I see an IC: A Mixed-Methods Approach to Study Human Problem-Solving Processes in Hardware Reverse Engineering

arXiv preprint arXiv:2402.15452

René Walendy

Markus Weber

Jingjie Li

Steffen Becker

Carina Wiesen

...

2024/2/23

Do Large Code Models Understand Programming Concepts? A Black-box Approach

arXiv preprint arXiv:2402.05980

Ashish Hooda

Mihai Christodorescu

Miltos Allamanis

Aaron Wilson

Kassem Fawaz

...

2024/2/8

Experimental Security Analysis of Sensitive Data Access by Browser Extensions

Asmit Nayak

Rishabh Khandelwal

Earlence Fernandes

Kassem Fawaz

2024

D4: Detection of adversarial diffusion deepfakes using disjoint ensembles

Ashish Hooda

Neal Mangaokar

Ryan Feng

Kassem Fawaz

Somesh Jha

...

2024

SEA: Shareable and Explainable Attribution for Query-based Black-box Attacks

arXiv preprint arXiv:2308.11845

Yue Gao

Ilia Shumailov

Kassem Fawaz

2023/8/23

The Overview of Privacy Labels and their Compatibility with Privacy Policies

arXiv preprint arXiv:2303.08213

Rishabh Khandelwal

Asmit Nayak

Paul Chung

Kassem Fawaz

2023/3/14

Comparing Privacy Labels of Applications in Android and iOS

Rishabh Khandelwal

Asmit Nayak

Paul Chung

Kassem Fawaz

2023/11/26

Theoretically Principled Trade-off for Stateful Defenses against Query-Based Black-Box Attacks

arXiv preprint arXiv:2307.16331

Ashish Hooda

Neal Mangaokar

Ryan Feng

Kassem Fawaz

Somesh Jha

...

2023/7/30

Investigating stateful defenses against black-box adversarial examples

arXiv preprint arXiv:2303.06280

Ryan Feng (co-lead)

Ashish Hooda (co-lead)

Neal Mangaokar (co-lead)

Kassem Fawaz

Somesh Jha

...

2023/3/11

Stateful defenses for machine learning models are not yet secure against black-box attacks

Ryan Feng

Ashish Hooda

Neal Mangaokar

Kassem Fawaz

Somesh Jha

...

2023/11/15

Unpacking Privacy Labels: A Measurement and Developer Perspective on Google’s Data Safety Section

arXiv preprint arXiv:2306.08111

Rishabh Khandelwal

Asmit Nayak

Paul Chung

Kassem Fawaz

2023/6/13

Tubes among us: Analog attack on automatic speaker identification

Shimaa Ahmed

Yash Wani

Ali Shahin Shamsabadi

Mohammad Yaghini

Ilia Shumailov

...

2023

Human-Producible Adversarial Examples

arXiv preprint arXiv:2310.00438

David Khachaturov

Yue Gao

Ilia Shumailov

Robert Mullins

Ross Anderson

...

2023/9/30

Automated cookie notice analysis and enforcement

Rishabh Khandelwal

Asmit Nayak

Hamza Harkous

Kassem Fawaz

2023

“It’s up to the Consumer to be Smart”: Understanding the Security and Privacy Attitudes of Smart Home Users on Reddit

Jingjie Li

Kaiwen Sun

Brittany Skye Huff

Anna Marie Bierley

Younghyun Kim

...

2023/5

Unbiased Face Synthesis With Diffusion Models: Are We There Yet?

Harrison Rosenberg

Shimaa Ahmed

Guruprasad V Ramesh

Ramya Korlakai Vinayak

Kassem Fawaz

2023/9/13

Fairness properties of face recognition and obfuscation systems

Harrison Rosenberg

Brian Tang

Kassem Fawaz

Somesh Jha

2023

Exposing and Addressing Security Vulnerabilities in Browser Text Input Fields

arXiv preprint arXiv:2308.16321

Asmit Nayak

Rishabh Khandelwal

Kassem Fawaz

2023/8/30

See List of Professors in Kassem Fawaz University(University of Wisconsin-Madison)

Co-Authors

H-index: 118
Kang G. Shin

Kang G. Shin

University of Michigan

H-index: 86
Somesh Jha

Somesh Jha

University of Wisconsin-Madison

H-index: 75
Karl Aberer

Karl Aberer

École Polytechnique Fédérale de Lausanne

H-index: 64
Suman Banerjee

Suman Banerjee

University of Wisconsin-Madison

H-index: 58
Bilge Mutlu

Bilge Mutlu

University of Wisconsin-Madison

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