TrackFlood: Relocating Latency Attacks from NMS-Free Detectors to Real-Time Trackers

arXiv:2609.33948 · cs.CR · Submitted 2026-09-27 · Read on arXiv

cs.CR

Submitted: 2026-09-27

Updated: 2026-09-27

Terminology

• Conference on Computer Vision and Pattern Recognition — 6× in this paper
• Transformer — 5× in this paper · explained in 2 episodes
• In International Conference on Learning Representations — 4× in this paper
• Non-Maximum Suppression — 4× in this paper
• Pruning — 4× in this paper · explained in 4 episodes
• Adversarial Examples — 3× in this paper · explained in 2 episodes
• European Conference on Computer Vision — 3× in this paper
• Robustness — 3× in this paper · explained in 5 episodes
• Sparsity — 3× in this paper · explained in 4 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Core — 2× in this paper · explained in 2 episodes
• Edge Devices — 2× in this paper · explained in 2 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Global Motion Compensation — 2× in this paper
• Activation Sparsity — 1× in this paper · explained in 1 episode
• Adversarial Robustness — 1× in this paper · explained in 3 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• IEEE International Conference on Image Processing — 1× in this paper
• Quantization — 1× in this paper · explained in 12 episodes

Sources

• BoT-SORT: Robust Associations Multi-Pedestrian Tracking
• Energy-Latency Attacks: A New Adversarial Threat to Deep Learning
• Ultralytics YOLO26: Unified Real-Time End-to-End Vision Models
• CP-FREEZER: Latency Attacks against Vehicular Cooperative Perception

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