Sponge Examples Attack: Spikes Neural Network Energy Consumption by 100x
alexbilz · x · 2026-08-14
The paper "Sponge Examples: Energy-Latency Attacks on Neural Networks" introduces a Denial-of-Service (DoS) attack method targeting neural networks. By crafting specific input data, attackers can force the model to consume significantly more time and computational resources during inference.
Experiments show that this attack can increase the energy consumption of neural networks by 10x to 200x. In latency-critical applications like autonomous driving, such attacks could pose severe safety risks.
More from Safety
- The Safety Reckoning Inside OpenAI: Wired Reports on Internal Cultural Fallout — Wired AI · 2026-08-14
- Top AI Insider Predicts Government Commandeering of Labs is Imminent — danfaggella · 2026-08-14
- Security Incident: Man Caught Hiding Prompt Injections in Legal Filings to Manipulate AI — Polymarket · 2026-08-14
- Can LLMs Be Virtuous? Applying MacIntyre's Ethics to Claude's Constitution — brwilder · 2026-08-14
- Anthropic Starts Watermarking Claude's Output — matthew_d_green · 2026-08-14
- Beyond Model Guardrails: Devs Urge Focus on AI Agent Access Control — Worldly-Step-837 · 2026-08-14