activity
20242026
collaborators

11 papers

cs.CR2026

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…

cs.CR2026

Resolving Conflicts Between RTOS Timekeeping and Uninterruptable Trusted Computing

Antonio Joia Neto, Amarin Laohajirapan, Norrathep Rattanavipanon +1

Trusted Execution Environments (TEEs) on low-power microcontrollers (e.g., ARM TrustZone-M) enable isolation of Secure and Non-Secure software but still require both worlds to shar…

cs.CR2026

Boosting Device Utilization in Control Flow Auditing

Alexandra Lengert, Adam Ilyas Caulfield, Ivan De Oliveira Nunes

Micro-Controller Units (MCUs) are widely used in safety-critical systems, making them attractive targets for attacks. This calls for lightweight defenses that remain effective desp…

cs.CR2025

Towards Browser Controls to Protect Cookies from Malicious Extensions

Liam Tyler, Ivan De Oliveira Nunes

Cookies maintain state across related web traffic. As such, cookies are commonly used for authentication by storing a user's session ID and replacing the need to re-enter credentia…

cs.CR2025

Efficient Control Flow Attestation by Speculating on Control Flow Path Representations

Liam Tyler, Adam Caulfield, Ivan De Oliveira Nunes

Control Flow Attestation (CFA) allows remote verification of run-time software integrity in embedded systems. However, CFA is limited by the storage/transmission costs of generated…

cs.CR2025

On the Verification of Control Flow Attestation Evidence

Adam Caulfield, Norrathep Rattanavipanon, Ivan De Oliveira Nunes

Remote run-time attestation methods, including Control Flow Attestation (CFA) and Data Flow Attestation (DFA), have been proposed to generate precise evidence of execution's contro…