People

Faculty

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Birhanu Eshete

Principal Investigator

Graduate Students

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Abderrahmen Amich

Ph.D. Candidate

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Firas Ben Hmida

Ph.D. Student

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Philemon Hailemariam

Ph.D. Student

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Christine Carlton

M.Sc. Student

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Elie Rizk

M.Sc. Student

Alumni

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Ata Kaboudi

M.Sc. Student

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Abdullah Ali

M.Sc. Student

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Chevy Pawlik

Undergraduate Student

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Hassaan Ali

M.Sc. Student

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Hassan Ali

M.Sc. Student

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Ismat Jarin

Ph.D. Candidate

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Jon-Nicklaus Jackson

M.Sc. Student

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Majed Chamseddine

M.Sc. Student

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Olajide David

M.Sc. Student

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Zeineb Moalla

Undergraduate Student

Research Areas

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Trustworthy Machine Learning

We study robustness (to training data poisoning, model evasion, model stealing), privacy (against training example membership inference), and the interaction among robustness, privacy, transparency, and fairness properties in machine learning.

Cyber Threat Intelligence

Our focus is on systematic curation, characterization, measurement, and forensics of cyber threat intelligence (e.g., malware samples, infection traces, natural language threat descriptions).

Cybercrime Analysis

We focus on analysis, reconstruction, measurement, and defense of cybercrime with focus on cybercrime activities (e.g., phishing, malware) cybercrimen toolkits (e.g., exploit kits, ransomware, and APTs).

Recent Publications

Abderrahmen Amich, Birhanu Eshete, Vinod Yegneswaran, Nguyen Phong Hoang (2023). DeResistor: Toward Detection-Resistant Probing for Evasion of Internet Censorship. Proceedings of the 32nd USENIX Security Symposium (SEC’23), 2023.

Code Project

Probir Roy, Birhanu Eshete, Pengfei Su (2023). Designing Secure Performance Metrics for Last-Level Cache. Proceedings of the 28th International Workshop on High-Level Parallel Programming Models and Supportive Environments (HIPS 2023).

Ismat Jarin, Birhanu Eshete (2023). MIAShield: Defending Membership Inference Attacks via Preemptive Exclusion of Members. Proceedings of the 23rd Privacy Enhancing Technologies Symposium (PETS 2023).

Preprint PDF Code Project

Abderrahmen Amich, Birhanu Eshete, Vinod Yegneswaran (2022). Adversarial Detection of Censorship Measurements. Proceedings of the 21st ACM Workshop on Privacy in the Electronic Society (WPES’22), co-located with the 29th ACM Conference on Computer and Communications Security (CCS), 2022.

Project

Ismat Jarin, Birhanu Eshete (2022). DP-UTIL: Comprehensive Utility Analysis of Differential Privacy in Machine Learning. Proceedings of the 12th ACM Conference on Data and Application Security and Privacy (ACM CODASPY).

PDF Code Project Video

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