AI & ML
When appearance and motion disagree: evaluating class-motion consistency against disguised uncrewed surface vessels
arXiv cs.CR0 views
arXiv:2611.00367v2 Announce Type: replace Abstract: Defense systems for maritime assets must distinguish approaching benign craft from uncrewed surface vessels (USVs) with sufficient warning to act. Shore cameras using computer vision can separate hostile vessels from benign traffic, but these systems may be attacked using an adversarial hull patch or physical disguise. We evaluate adversarial hull patches and find they suppress detection in up to 29% of attempts but never cause misclassification as benign. Physical disguise, however, can bypass both a camera check and a radar presence check. To evaluate defenses, we develop a hybrid replay protocol from automatic identification system (AIS) tracks that combines recorded benign motion with direct or off-axis attack run-ins. We find that for recreational-labeled vessels attacking via direct run-in within 4 nautical miles, an asset-relative closing-rate check flags 94-95% at 15-20 knots, compared with 12% for a track-only speed check. The checks are complementary on off-axis approaches, constraining the attacker to remain below both thresholds and extending the time required to reach the asset. Flagging on either check has a 4.9% held-out false-alarm rate overall and 12.3% on recreational traffic. The replay-based evaluation protocol supports comparative test and evaluation of defense methods.
Source:https://arxiv.org/abs/2611.00367PreviousMemForm: Benchmarking Memory Formation Poisoning in LLM AgentsNextAnalysis of LLM Vulnerability to GPU Soft Errors: An Instruction-Level Fault Injection Study
Related posts

Apple confirms $7.5 billion bond sale following strong investor demand
09to5Mac
cBridge: Do You Need Gas on Both Chains?
0dev.to
Honor Puts a 4-DOF Titanium Gimbal Inside a Phone at 7,999 Yuan
0dev.to

Protesters break into Microsoft data center site in Amsterdam
0The Verge

After printing 40,000 whistles, this is the 3D printer I’d buy
0The Verge

A New Community For In-House UX People
0Smashing Magazine