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Professor Saltaformaggio’s research interests include computer systems security and cyber forensics, with a focus on malware analysis, vetting untrusted software, and the investigation of cyberattacks targeting AI deployments. His research develops principled cyber forensics methods by combining memory forensics, binary analysis and instrumentation, and AI vulnerability discovery.
Professor Saltaformaggio’s teaching interests include advanced malware analysis, cyber forensics, and systems security, with an emphasis on static and dynamic analysis, reverse engineering, and the investigation of cyberattacks. His courses integrate theory with hands-on laboratory assignments that teach students to analyze, understand, and remediate complex modern malware.
VillainNet: Targeted Poisoning Attacks Against SuperNets Along the Accuracy-Latency Pareto Frontier.
D. Oygenblik, A. Vemulapalli, A. Agrawal, D. Sanyal, A. Tumanov, and B. Saltaformaggio.
In Proc. 32nd ACM Conference on Computer and Communications Security (CCS), Taipei, Taiwan, 2025.
Hitchhiking Vaccine: Enhancing Botnet Remediation With Remote Code Deployment Reuse.
R. Zhang, M. Yao, H. Xu, O. Alrawi, J. Park, and B. Saltaformaggio.
In Proc. 2025 Annual Network and Distributed System Security Symposium (NDSS), San Diego, CA, 2025.
Pulling Off The Mask: Forensic Analysis of the Deceptive Creator Wallets Behind Smart Contract Fraud.
M. Yao, R. Zhang, H. Xu, R. Chou, V. C. Paturi, A. K. Sikder, and B. Saltaformaggio.
In Proc. 45th IEEE Symposium on Security and Privacy (S&P), San Francisco, CA, 2024.