Hi! I’m Sifat Muhammad Abdullah, a 5th year Ph.D. student at the Department of Computer Science, Virginia Tech. I am advised by Dr. Bimal Viswanath. My research interests center around the security & reasoning capabilities of VLMs and LLMs. Particularly, I focus on analyzing and enhancing the robustness of Multimodal and Large Language models against adversarial attacks, and leverage inference-time reasoning to make them safer against real-world threats. I have received my Bachelor’s degree in Computer Science from BUET in April, 2019.
Please contact me with any questions (email on the left).
Publications
An Analysis of Recent Advances in Deepfake Image Detection in an Evolving Threat LandscapeSifat Muhammad Abdullah, Aravind Cheruvu, Shravya Kanchi, Taejoong Chung, Peng Gao, Murtuza Jadliwala, Bimal Viswanath.
IEEE S&P (Oakland)
San Francisco, CA, May 2024.
PDF Code and Datasets Video
A First Look at Toxicity Injection Attacks on Open-domain Chatbots
Aravind Cheruvu, Connor Weeks, Sifat Muhammad Abdullah, Shravya Kanchi, Danfeng Yao, Bimal Viswanath.
ACSAC
Austin, Texas, Dec 2023.
PDF Code and Datasets
Deepfake Text Detection: Limitations and Opportunities
Jiameng Pu, Zain Sarwar, Sifat Muhammad Abdullah, Abdullah Rehman, Yoonjin Kim, Parantapa Bhattacharya, Mobin Javed, Bimal Viswanath.
IEEE S&P (Oakland)
San Francisco, CA, May 2023.
PDF Code and Datasets Video
CHAPAO: Likelihood and hierarchical reference-based representation of biomolecular sequences and applications to compressing multiple sequence alignments
Md Ashiqur Rahman, Abdullah Aman Tutul, Sifat Muhammad Abdullah, Md Shamsuzzoha Bayzid.
PLOS ONE Journal, 2022.
PDF Code and Datasets
A Web-Based System for Efficient Contact Tracing Query in a Large Spatio-Temporal Database
Shadman Saqib Eusuf, Kazi Ashik Islam, Mohammed Eunus Ali, Sifat Muhammad Abdullah, Abdus Salam Azad.
ACM SIGSPATIAL
Seattle, WA, Nov 2020.
Recent News
- [Dec 2024] - PC Technical Committee of 4th Workshop on the Security Implications of Deepfakes and Cheapfakes (WDC'25).
- [June 2024] - Our paper got featured in CCI Research Showcase 2024.
- [May 2024] - Presented my paper "An Analysis of Recent Advances in Deepfake Image Detection in an Evolving Threat Landscape" at IEEE S&P, 2024.
- [Apr 2024] - Presented my poster on "An Analysis of Recent Advances in Deepfake Image Detection in an Evolving Threat Landscape" at the CCI Symposium 2024.
- [Mar 2024] - Presented my poster on "An Analysis of Recent Advances in Deepfake Image Detection in an Evolving Threat Landscape" at the DMV Security Workshop 2024.
- [Mar 2024] - Our paper titled "An Analysis of Recent Advances in Deepfake Image Detection in an Evolving Threat Landscape" was accepted at IEEE S&P 2024, a top-tier A* conference.
- [Mar 2024] - Offered CCI SWVA Cyber Innovation Scholarship.
- [Oct 2023] - Presented my work on ways to integrate Generative AI to your benefit at VT Skillshop Series - Leveraging Creative Technologies.
- [Oct 2023] - Our Lab was featured in "The Dark Side of AI" by VPM News Focal Point.
- [Oct 2023] - Student Spotlight by Commonwealth Cyber Initiative (CCI).
- [June 2022] - Our paper on "A First Look at Toxicity Injection Attacks on Open-domain Chatbots" was accepted at ACSAC 2023.
- [July 2023] - Our paper titled "Deepfake Text Detection: Limitations and Opportunities" was featured in Communications of the ACM.
- [Nov 2022] - Our paper titled "Deepfake Text Detection: Limitations and Opportunities" was featured in TechXplore.
- [June 2022] - Our paper on "Deepfake Text Detection: Limitations and Opportunities" was accepted at IEEE S&P 2023, a top-tier A* conference.