Author

Zong-Hua Gu

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Preprint Oct 2026

TrackShield: An Efficient Runtime Defense Against Availability Attacks on High-Performance Real-Time Multi-Object Tracking

High-performance camera-based perception pipelines must sustain per-frame real-time budgets on resource-constrained embedded GPU platforms. Availability attacks such as SlowTrack inflate the persistent state of multi-object trackers: data-association workload accumulates across frames, so per-frame latency increases an...

Zong-Hua Gu, Julian Singh-Smith, Jun-Lin Liao et al. · 0 citations

#machine learning Preprint Oct 2026

Seeing at the Edge: Energy Characterization of Vision-Language Model Inference on Edge Platforms

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 that energy goes. We measure total-system energy, latency, and thermal behavior of Qwen2-VL-2B-Instruct and its text-only sibling on a Raspberr...

Jun-Lin Liao, Harshit Kondle, Di Liu et al. · 0 citations

Review Sep 2026

Deep Learning Latency Attacks and Defenses: A Cross-Domain Survey of Availability Threats

Adversarial machine learning has focused mainly on integrity, but availability is an increasingly consequential complement. Latency attacks (also energy-latency attacks) increase inference-time work, energy, or response time, causing deadline misses, throughput collapse, or resource exhaustion in vehicle controllers, i...

Zong-Hua Gu, Ze-Yu Gao, Amin Saremi et al. · 2 citations