activity
20212026
most citedRepttack: Exploiting Cloud Schedulers to Guide Co-Location Attacks

19 citations · 51 across the 12 of their papers we have counts for

collaborators

14 papers

cs.LG2026

Faults That Fortify: CNN Adversarial Robustness via GPU Undervolting

Behnam Omidi, Ahmad Tahmasivand, Husam Alsyouri +4

Convolutional Neural Networks (CNNs) face a dual challenge: vulnerability to adversarial attacks and prohibitive training cost. Adversarial training is effective but expensive, a b…

cs.CR2026

Beyond End-to-End Success: Diagnosing Failures in Long-Horizon Security LLM Agents

Wei Shao, Chongzhou Fang, Zuxiong Tan +4

Long-horizon security LLM agents must carry information and decisions across many dependent interactions, where later actions often depend on services, state, or access discovered…

cs.CR2026

Kumo: A Security-Focused Serverless Cloud Simulator

Wei Shao, Khaled Khasawneh, Setareh Rafatirad +2

Serverless computing abstracts infrastructure management but also obscures system-level behaviors that can introduce security risks. Prior work has shown that serverless platforms…

cs.CR2026

Bit of a Close Talker: A Practical Guide to Serverless Cloud Co-Location Attacks

Wei Shao, Najmeh Nazari, Behnam Omidi +4

Serverless computing has revolutionized cloud computing by offering users an efficient, cost-effective way to develop and deploy applications without managing infrastructure detail…

cs.CR2025

FaRAccel: FPGA-Accelerated Defense Architecture for Efficient Bit-Flip Attack Resilience in Transformer Models

Najmeh Nazari, Banafsheh Saber Latibari, Elahe Hosseini +8

Forget and Rewire (FaR) methodology has demonstrated strong resilience against Bit-Flip Attacks (BFAs) on Transformer-based models by obfuscating critical parameters through dynami…

cs.CR2025

Know Me by My Pulse: Toward Practical Continuous Authentication on Wearable Devices via Wrist-Worn PPG

Wei Shao, Zequan Liang, Ruoyu Zhang +6

Biometric authentication using physiological signals offers a promising path toward secure and user-friendly access control in wearable devices. While electrocardiogram (ECG) signa…

eess.SY2024

APEX: Attention on Personality based Emotion ReXgnition Framework

Ruijie Fang, Ruoyu Zhang, Elahe Hosseini +4

Automated emotion recognition has applications in various fields, such as human-machine interaction, healthcare, security, education, and emotion-aware recommendation/feedback syst…

eess.SY2024

Advanced Energy-Efficient System for Precision Electrodermal Activity Monitoring in Stress Detection

Ruoyu Zhang, Ruijie Fang, Elahe Hosseini +3

This paper presents a novel Electrodermal Activity (EDA) signal acquisition system, designed to address the challenges of stress monitoring in contemporary society, where stress af…

cs.SE2024★ 11 cited

Fuzzing BusyBox: Leveraging LLM and Crash Reuse for Embedded Bug Unearthing

Asmita, Yaroslav Oliinyk, Michael Scott +3

BusyBox, an open-source software bundling over 300 essential Linux commands into a single executable, is ubiquitous in Linux-based embedded devices. Vulnerabilities in BusyBox can…

cs.SE2023★ 12 cited

Large Language Models for Code Analysis: Do LLMs Really Do Their Job?

Chongzhou Fang, Ning Miao, Shaurya Srivastav +8

Large language models (LLMs) have demonstrated significant potential in the realm of natural language understanding and programming code processing tasks. Their capacity to compreh…

cs.CR2023★ 6 cited

Gotcha! I Know What You are Doing on the FPGA Cloud: Fingerprinting Co-Located Cloud FPGA Accelerators via Measuring Communication Links

Chongzhou Fang, Ning Miao, Han Wang +5

In recent decades, due to the emerging requirements of computation acceleration, cloud FPGAs have become popular in public clouds. Major cloud service providers, e.g. AWS and Micro…

cs.CR2023

Side Channel-Assisted Inference Leakage from Machine Learning-based ECG Classification

Jialin Liu, Ning Miao, Chongzhou Fang +2

The Electrocardiogram (ECG) measures the electrical cardiac activity generated by the heart to detect abnormal heartbeat and heart attack. However, the irregular occurrence of the…

cs.CV2022★ 3 cited

Predictive Modeling of Charge Levels for Battery Electric Vehicles using CNN EfficientNet and IGTD Algorithm

Seongwoo Choi, Chongzhou Fang, David Haddad +1

Convolutional Neural Networks (CNN) have been a good solution for understanding a vast image dataset. As the increased number of battery-equipped electric vehicles is flourishing g…

cs.DC2021★ 19 cited

Repttack: Exploiting Cloud Schedulers to Guide Co-Location Attacks

Chongzhou Fang, Han Wang, Najmeh Nazari +5

Cloud computing paradigms have emerged as a major facility to store and process the massive data produced by various business units, public organizations, Internet-of-Things, and c…