Antonio Bianchi
Computer Science · Purdue University West Lafayette
Publications
65
Citations
1,869
Est. group size
~5
Recurring co-author estimate
Active years
45
Publishing since 1982
Antonio Bianchi works in computer security, focusing on finding software vulnerabilities and testing the safety of systems like mobile apps, IoT devices, wearables, and electric-vehicle charging protocols. Recent work also explores how large language models (LLMs) can be used for or against security, such as generating test inputs, decompiling binary code, and evaluating AI 'jailbreaks' (ways to bypass safety restrictions in AI models). Much of the research uses automated techniques like fuzzing (feeding programs random or targeted inputs to find bugs) and program analysis to uncover security flaws.
Publication output was low from 2018-2020, then increased notably from 2021 onward, holding steady at roughly 5-6 papers per year through 2025.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- deepSURF: Detecting Memory Safety Vulnerabilities in Rust Through Fuzzing LLM-Augmented Harnesses
2026
- Investigating the Impact of Dark Patterns on LLM-Based Web Agents
2026
- A First Look at the Mobile Driving License (mDL) Standard and its Real-world Usage
2026
- VeriBin: Adaptive Verification of Patches at the Binary Level
2025
- D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning
arXiv (Cornell University) · 2025
- Wear’s my Data? Understanding the Cross-Device Runtime Permission Model in Wearables
2024
- Automated Detection of Cryptographic Inconsistencies in Android’s Keymaster Implementations
2024
- Rethinking How to Evaluate Language Model Jailbreak
arXiv (Cornell University) · 2024
- Poster: PLUG&CHECK: Finding Bugs in ISO15118 Implementations with EVFUZZ
2024
- Making Sense of Constellations: Methodologies for Understanding Starlink's Scheduling Algorithms
2023
- AoT - Attack on Things: A security analysis of IoT firmware updates
2023
- Crystallizer: A Hybrid Path Analysis Framework to Aid in Uncovering Deserialization Vulnerabilities
2023
- FlowFinder App Analysis Dataset
Zenodo (CERN European Organization for Nuclear Research) · 2023
- FlowFinder App Analysis Dataset
Zenodo (CERN European Organization for Nuclear Research) · 2023
- One Fuzz Doesn’t Fit All: Optimizing Directed Fuzzing via Target-tailored Program State Restriction
2022
- 2022 IEEE Symposium on Security and Privacy (SP)×3
- arXiv (Cornell University)×3
- USENIX Security Symposium×2
- Zenodo (CERN European Organization for Nuclear Research)×2
- IEEE Security & Privacy×1
- Carter Yagemann
Computer Science · The Ohio State University
- Chaoshun Zuo
Computer Science · The Ohio State University
- Luyi Xing
Computer Science · Indiana University
- Zhiqiang Lin
Computer Science · The Ohio State University
- Aravind Machiry
Computer Science · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile