4 papers
Seeing at the Edge: Energy Characterization of Vision-Language Model Inference on Edge Platforms
Junlin Liao, Harshit Kondle, Di Liu +1
Vision-language models (VLMs) are moving onto edge devices, but little is known about how much energy they draw on single-board computers with NPU or GPU accelerators, or where tha…
TrackShield: An Efficient Runtime Defense Against Availability Attacks on High-Performance Real-Time Multi-Object Tracking
Zonghua Gu, Julian Singh-Smith, Junlin Liao +1
High-performance camera-based perception pipelines must sustain per-frame real-time budgets on resource-constrained embedded GPU platforms. Availability attacks such as SlowTrack i…
GateDrain: Availability Attacks and Admission-Side Defense for Confidence-Gated Edge-Cloud Inference
Zonghua Gu, Julian Singh-Smith, Junlin Liao +1
Confidence-gated edge--cloud inference accepts confident local predictions and offloads uncertain inputs to a stronger cloud model. We show that this routing decision creates an av…
TrackFlood: Relocating Latency Attacks from NMS-Free Detectors to Real-Time Trackers
Zonghua Gu, Julian Singh-Smith, Junlin Liao +2
We consider latency attacks on object detectors, where the attacker's goal is not to corrupt a prediction but to make the system fail to respond in time, targeting real-time applic…