Deep Learning Latency Attacks and Defenses: A Cross-Domain Survey of Availability Threats
cs.CR
Submitted: 2026-09-29
Updated: 2026-09-29
Code: https://github.com/guzonghua/awesome-latency-attacks
Terminology
Sources
- LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures
- QuantAttack: Exploiting Dynamic Quantization to Attack Vision Transformers
- Steal Now and Attack Later: Evaluating Robustness of Object Detection against Black-box Adversarial Attacks
- Impact Analysis of Inference Time Attack of Perception Sensors on Autonomous Vehicles
- Token-Budget-Aware Pool Routing for Cost-Efficient LLM Inference
- Dynamic Transformers Provide a False Sense of Efficiency
- BERT Lost Patience Won't Be Robust to Adversarial Slowdown
- When Data Manipulation Meets Attack Goals: An In-depth Survey of Attacks for VLMs
- SoK: The Attack Surface of Agentic AI - Tools and Autonomy
- Time Traveling to Defend Against Adversarial Example Attacks in Image Classification
- Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity
- Misrouter: Exploiting Routing Mechanisms for Input-Only Attacks on Mixture-of-Experts LLMs
- LingoLoop Attack: Trapping MLLMs via Linguistic Context and State Entrapment into Endless Loops
- SQUAD: Scalable Quorum Adaptive Decisions via ensemble of early exit neural networks
- Inducing High Energy-Latency of Large Vision-Language Models with Verbose Images
- Denial-of-Service Poisoning Attacks against Large Language Models
- Breaking Down the Defenses: A Comparative Survey of Attacks on Large Language Models
- GateDrain: Availability Attacks and Admission-Side Defense for Confidence-Gated Edge-Cloud Inference
- TrackFlood: Relocating Latency Attacks from NMS-Free Detectors to Real-Time Trackers
- Token-Budget-Aware LLM Reasoning
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