activity
20172025
most citedLO-FAT: Low-Overhead Control Flow ATtestation in Hardware

101 citations · 138 across the 9 of their papers we have counts for

collaborators

9 papers

cs.DB2025

Reflex: Faster Secure Collaborative Analytics via Controlled Intermediate Result Size Disclosure

Long Gu, Shaza Zeitouni, Carsten Binnig +1

Secure Multi-Party Computation (MPC) enables collaborative analytics without exposing private data. However, OLAP queries under MPC remain prohibitively slow due to oblivious execu…

cs.CR2024★ 5 cited

Lost and Found in Speculation: Hybrid Speculative Vulnerability Detection

Mohamadreza Rostami, Shaza Zeitouni, Rahul Kande +5

Microarchitectural attacks represent a challenging and persistent threat to modern processors, exploiting inherent design vulnerabilities in processors to leak sensitive informatio…

cs.SE2024

Beyond Random Inputs: A Novel ML-Based Hardware Fuzzing

Mohamadreza Rostami, Marco Chilese, Shaza Zeitouni +3

Modern computing systems heavily rely on hardware as the root of trust. However, their increasing complexity has given rise to security-critical vulnerabilities that cross-layer at…

cs.CR2023★ 2 cited

FLAIRS: FPGA-Accelerated Inference-Resistant & Secure Federated Learning

Huimin Li, Phillip Rieger, Shaza Zeitouni +2

Federated Learning (FL) has become very popular since it enables clients to train a joint model collaboratively without sharing their private data. However, FL has been shown to be…

cs.CR2021★ 4 cited

FLAME: Taming Backdoors in Federated Learning (Extended Version 1)

Thien Duc Nguyen, Phillip Rieger, Huili Chen +10

Federated Learning (FL) is a collaborative machine learning approach allowing participants to jointly train a model without having to share their private, potentially sensitive loc…

cs.CR2020★ 6 cited

SoK: On the Security Challenges and Risks of Multi-Tenant FPGAs in the Cloud

Shaza Zeitouni, Ghada Dessouky, Ahmad-Reza Sadeghi

In their continuous growth and penetration into new markets, Field Programmable Gate Arrays (FPGAs) have recently made their way into hardware acceleration of machine learning amon…

cs.CR2017★ 101 cited

LO-FAT: Low-Overhead Control Flow ATtestation in Hardware

Ghada Dessouky, Shaza Zeitouni, Thomas Nyman +5

Attacks targeting software on embedded systems are becoming increasingly prevalent. Remote attestation is a mechanism that allows establishing trust in embedded devices. However, e…

cs.CR2017★ 17 cited

HardScope: Thwarting DOP with Hardware-assisted Run-time Scope Enforcement

Thomas Nyman, Ghada Dessouky, Shaza Zeitouni +4

Widespread use of memory unsafe programming languages (e.g., C and C++) leaves many systems vulnerable to memory corruption attacks. A variety of defenses have been proposed to mit…

cs.CR2017★ 3 cited

Exploiting PUF Models for Error Free Response Generation

Yansong Gao, Hua Ma, Geifei Li +5

Physical unclonable functions (PUF) extract secrets from randomness inherent in manufacturing processes. PUFs are utilized for basic cryptographic tasks such as authentication and…