Daniele Cono D'Elia
Biografia
I am an Assistant Professor with the Department of Computer, Control, and Management Engineering (DIAG) "Antonio Ruberti" at Sapienza University of Rome. I am part of the research group led by Leonardo Querzoni and of the CIS Sapienza Research Center of Cyber Intelligence and Information Security.
I obtained my PhD in 2016 with a dissertation on adaptive program optimization later awarded and published as a book. In 2014 I was a visiting researcher at Purdue University working with Jan Vitek. You may find a recent resume here.
I often speak at Black Hat events (EU 2019, EU 2020, USA 2021). I was also behind CyberChallenge.IT in its early days. I'm a road cyclist and traveler. Please refer to my more up-to-date personal webpage for my recent activities.
Interessi di ricerca
My work spans across several fields of software and systems security. I play with malware, monitoring solutions in presence of adversaries, and program analyses and transformations to make programs more secure (e.g., fuzzing, side channel elimination, code reuse defenses, program obfuscation).
Riconoscimenti e premi
2021 Distinguished Reviewer Award for the service in the Shadow PC of IEEE S&P (Oakland)
2020 Best PhD Thesis award from Sapienza Editrice
2020 Traveling Fellowship from the Italian Embassy in Seoul
Excellent graduate student award from the Alumni Noi Sapienza Association
Membro di
Awards
Ultime pubblicazioni
| Evaluating Dynamic Binary Instrumentation Systems for Conspicuous Features and Artifacts on DIGITAL THREATS | 2022 |
| Constantine: Automatic Side-Channel Resistance Using Efficient Control and Data Flow Linearization on Proceedings of the ACM Conference on Computer and Communications Security | 2021 |
| Designing Robust API Monitoring Solutions on IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING | 2021 |
| Hiding in the Particles: When Return-Oriented Programming Meets Program Obfuscation on 2021 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) | 2021 |
| Rope: Bypassing Behavioral Detection of Malware with Distributed ROP-Driven Execution on | 2021 |
| Rope: Covert Multi-process Malware Execution with Return-Oriented Programming on Computer Security – ESORICS 2021 | 2021 |
| The use of likely invariants as feedback for fuzzers on Proceedings of the 30th USENIX Security Symposium | 2021 |