activity
20242026
collaborators

10 papers

cs.CR2026

SLAC: Access-Driven CPU-to-GPU Side-channel Attacks via System-Level Cache on Apple Silicon

Tianhong Xu, Saion K. Roy, Ruyi Ding +2

Modern heterogeneous System-on-Chip designs integrate CPU cores and a GPU that share a last-level cache (LLC) or system-level cache (SLC). This sharing exposes a new cross-domain a…

cs.CR2026

Exploring Side-Channel Protections in Hardware Implementations of PQC ML-KEM Verification

Davis Ranney, Yashaswini I Makaram, A. Adam Ding +1

As ML-KEM is adopted as a post-quantum cryptographic standard, resilience against physical side-channel attacks has become essential. Among the constituent steps, the decapsulation…

cs.CR2026

MetaSeal: Defending Against Image Attribution Forgery Through Content-Dependent Cryptographic Watermarks

Tong Zhou, Ruyi Ding, Gaowen Liu +5

The rapid growth of digital and AI-generated images has amplified the need for secure and verifiable methods of image attribution. While digital watermarking offers more robust pro…

cs.CR2025

MoEcho: Exploiting Side-Channel Attacks to Compromise User Privacy in Mixture-of-Experts LLMs

Ruyi Ding, Tianhong Xu, Xinyi Shen +2

The transformer architecture has become a cornerstone of modern AI, fueling remarkable progress across applications in natural language processing, computer vision, and multimodal…

cs.CR2025

EXAM: Exploiting Exclusive System-Level Cache in Apple M-Series SoCs for Enhanced Cache Occupancy Attacks

Tianhong Xu, Aidong Adam Ding, Yunsi Fei

Cache occupancy attacks exploit the shared nature of cache hierarchies to infer a victim's activities by monitoring overall cache usage, unlike access-driven cache attacks that foc…

cs.CR2025

MACPruning: Dynamic Operation Pruning to Mitigate Side-Channel DNN Model Extraction

Ruyi Ding, Cheng Gongye, Davis Ranney +2

As deep learning gains popularity, edge IoT devices have seen proliferating deployment of pre-trained Deep Neural Network (DNN) models. These DNNs represent valuable intellectual p…