26 citations · 33 across the 6 of their papers we have counts for
6 papers
Verifiable and Confidential DNN Inference on Low-End Edge Devices
Mohamed Khalil Kiri, Ivan De Oliveira Nunes, Aurélien Francillon +1
Deploying deep neural network (DNN) inference on low-end edge devices raises two key challenges: protecting model confidentiality against a potentially compromised edge system and…
Evasive Intelligence: Lessons from Malware Analysis for Evaluating AI Agents
Simone Aonzo, Merve Sahin, Aurélien Francillon +1
Artificial intelligence (AI) systems are increasingly adopted as tool-using agents that can plan, observe their environment, and take actions over extended time periods. This evolu…
MobileAppScrutinator: A Simple yet Efficient Dynamic Analysis Approach for Detecting Privacy Leaks across Mobile OSs
Jagdish Prasad Achara, Vincent Roca, Claude Castelluccia +1
Smartphones, the devices we carry everywhere with us, are being heavily tracked and have undoubtedly become a major threat to our privacy. As "tracking the trackers" has become a n…
Automated Dynamic Firmware Analysis at Scale: A Case Study on Embedded Web Interfaces
Andrei Costin, Apostolis Zarras, Aurélien Francillon
Embedded devices are becoming more widespread, interconnected, and web-enabled than ever. However, recent studies showed that these devices are far from being secure. Moreover, man…
EphPub: Toward Robust Ephemeral Publishing
Claude Castelluccia, Emiliano De Cristofaro, Aurelien Francillon +1
The increasing amount of personal and sensitive information disseminated over the Internet prompts commensurately growing privacy concerns. Digital data often lingers indefinitely…
Code injection attacks on harvard-architecture devices
Aurélien Francillon, Claude Castelluccia
Harvard architecture CPU design is common in the embedded world. Examples of Harvard-based architecture devices are the Mica family of wireless sensors. Mica motes have limited mem…