activity
20152026
most citedIdentifying and Mitigating the Security Risks of Generative AI

55 citations · 110 across the 23 of their papers we have counts for

collaborators
Showing 2025Show all

5 papers · 1 filter

cs.SE2025

Auto-SPT: Automating Semantic Preserving Transformations for Code

Ashish Hooda, Mihai Christodorescu, Chuangang Ren +3

Machine learning (ML) models for code clone detection determine whether two pieces of code are semantically equivalent, which in turn is a key building block for software-engineeri…

cs.CR2025★ 1 cited

Systems Security Foundations for Agentic Computing

Mihai Christodorescu, Earlence Fernandes, Ashish Hooda +11

In recent years, agentic artificial intelligence (AI) systems are becoming increasingly widespread. These systems allow agents to use various tools, such as web browsers, compilers…

cs.CR2025

When "Correct" Is Not Safe: Can We Trust Functionally Correct Patches Generated by Code Agents?

Yibo Peng, James Song, Lei Li +6

Code agents are increasingly trusted to autonomously fix bugs on platforms such as GitHub, yet their security evaluation focuses almost exclusively on functional correctness. In th…

cs.CR2025

Fingerprinting SDKs for Mobile Apps and Where to Find Them: Understanding the Market for Device Fingerprinting

Michael A. Specter, Mihai Christodorescu, Abbie Farr +7

This paper presents a large-scale analysis of fingerprinting-like behavior in the mobile application ecosystem. We take a market-based approach, focusing on third-party tracking as…

cs.SE2025★ 3 cited

SACTOR: LLM-Driven Correct and Idiomatic C to Rust Translation with Static Analysis and FFI-Based Verification

Tianyang Zhou, Ziyi Zhang, Haowen Lin +4

Translating software written in C to Rust has significant benefits in improving memory safety. However, manual translation is cumbersome, error-prone, and often produces unidiomati…