Publications

Full list is also on my Google Scholar profile.

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

Usenix Security Symposium 2024 (Accpetance rate: 17.3%)

Chongzhou Fang, Ning Miao, Shaurya Srivastav, Jialin Liu, Ruoyu Zhang, Ruijie Fang, Asmita Asmita, Ryan Tsang, Najmeh Nazari, Han Wang and Houman Homayoun

[Paper] [Slides]

Forget and Rewire: Enhancing the Resilience of Transformer-based Models against Bit-Flip Attacks

Usenix Security Symposium 2024

Najmeh Nazari, Hosein Mohammadi Makrani, Chongzhou Fang, Hossein Sayadi, Setareh Rafatirad, Khaled N. Khasawneh and Houman Homayoun

[Paper]

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

Usenix Security Symposium 2024

Asmita Asmita, Yaroslav Oliinyk, Michael Scott, Ryan Tsang, Chongzhou Fang and Houman Homayoun

[Paper] [;login: Article]

LLM-FIN: Large Language Models Fingerprinting Attack on Edge Devices

International Symposium on Quality Electronic Design (ISQED) 2024

Najmeh Nazari, Furi Xiang, Chongzhou Fang, Hosein Mohammadi Makrani, Aditya Puri, Kartik Patwari, Hossein Sayadi, Setareh Rafatirad, Chen-Nee Chuah and Houman Homayoun

[Paper]

Architectural Whispers: Unveiling Machine Learning Models with Frequency Throttling Side-Channel Fingerprinting

Annual Design Automation Conference (DAC) 2024

Najmeh Nazari, Chongzhou Fang, Hosein Mohammadi Makrani, Behnam Omidi, Setareh Rafatirad, Avesta Sasan, Hossein Sayadi, Houman Homayoun and Khaled N. Khasawneh

Securing On-Chip Learning: Navigating Vulnerabilities and Potential Safeguards in Spiking Neural Network Architectures

International Symposium on Circuits and Systems (ISCAS) 2024

Najmeh Nazari, Kevin Immanuel Gubbi, Banafsheh Saber Latibari, Muhtasim Alam Chowdhury, Chongzhou Fang, Avesta Sasan, Setareh Rafatirad, Houman Homayoun and Soheil Salehi

[Paper]

SpecScope: Automating Discovery of Exploitable Spectre Gadgets on Black-box Microarchitectures

Design, Automation and Test in Europe (DATE) 2024

Najmeh Nazari*, Behnam Omidi*, Chongzhou Fang, Hosein Mohammadi Makrani, Setareh Rafatirad, Avesta Sasan, Houman Homayoun and Khaled N. Khasawneh

[Paper]

Introducing an Open-Source Python Toolkit for Machine Learning Research in Physiological Signal based Affective Computing

IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2023

Ruijie Fang, Ruoyu Zhang, Elahe Hosseini, Chongzhou Fang, Setareh Rafatirad and Houman Homayoun

[Paper]

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

ACM Conference on Computer and Communications Security (CCS) 2023 (Acceptance rate: 19.0%)
CSAW'24 Applied Research Competition Finalist (Finalist selection rate: 15/194=7.73%) & Technical Impact Award Runner-up

Chongzhou Fang, Ning Miao, Han Wang, Jiacheng Zhou, Tyler Sheaves, John M. Emmert, Avesta Sasan and Houman Homayoun

[Paper] [Slides]

Side Channel-assisted Inference Attack on Machine Learning-based ECG Classification

International Conference on Computer-Aided Design (ICCAD) 2023

Jialin Liu, Houman Homayoun, Chongzhou Fang, Ning Miao and Han Wang

[Paper]

Privee: A Wearable for Real-Time Bladder Monitoring System

ACM International Joint Conference on Pervasive and Ubiquitous Computing & International Symposium on Wearable Computing (UbiComp/ISWC) 2023 Adjunct

Ruoyu Zhang, Ruijie Fang, Chongzhou Fang, Houman Homayoun and Gozde Goncu Berk

[Paper]

Special Session: Mitigating Side-channel Attacks through Circuit to Application Layer Approaches

International Conference on Hardware/Software Codesign and System Synthesis (CODE+ISSS) 2023

Nima Kavand, Armin Darjani, Jens Trommer, Giulio Galderisi, Thomas Mikolajick, Nicolai Müller, Amir Moradi, Chongzhou Fang, Ning Miao, Han Wang, Sai Manoj Pudukotai Dinakarrao, Houman Homayoun, Benjamin Hettwer, Luca Parrini and Akash Kumar

[Paper]

Don’t Cross Me! Cross-Layer System Security

Design Automation Conference (DAC) 2023

Najmeh Nazari, Chongzhou Fang, Sai Manoj PD, Houman Homayoun

[Paper]

Adversarial Attacks against Machine Learning-based Resource Provisioning Systems

IEEE Micro, 43(5), pp.35-44

Najmeh Nazari, Hosein Mohammadi Makrani, Chongzhou Fang, Behnam Omidi, Setareh Rafatirad, Hossein Sayadi, Khaled N. Khasawneh and Houman Homayoun

[Paper]

HeteroScore: Evaluating and Mitigating Cloud Security Threats Brought by Heterogeneity

Network and Distributed Systems Security (NDSS) Symposium 2023 (Accpetance rate: 16.2%)

Chongzhou Fang, Najmeh Nazari, Behnam Omidi, Han Wang, Aditya Puri, Manish Arora, Setareh Rafatirad, Houman Homayoun and Khaled N. Khasawneh

[Paper] [Slides]

Repttack: Exploiting Cloud Schedulers to Guide Co-Location Attacks

Network and Distributed Systems Security (NDSS) Symposium 2022 (Accpetance rate: 16.2%)

Chongzhou Fang, Han Wang, Najmeh Nazari, Behnam Omidi, Avesta Sasan, Khaled N. Khasawneh, Setareh Rafatirad and Houman Homayoun

[Paper] [Slides]