Tag: machine learning security
Browse our exclusive articles!
SpanKey: Secure Neural Network Access via Dynamic Key Conditioning
Discover SpanKey, a lightweight dynamic key conditioning method for efficient neural network access control without encrypting weights.
XFED: Non-Collusive Model Poisoning Attack on Federated Learning
Discover XFED, a non-collusive model poisoning attack that bypasses defenses in federated learning without attacker coordination.
CLIP-Inspector: Detect Backdoors in Prompt-Tuned CLIP Models
Detect and repair backdoors in prompt-tuned CLIP models using CLIP-Inspector's OOD trigger inversion for enhanced ML model security.
DeepGuard: Multi-Layer Secure Code Generation with LLMs
DeepGuard enhances secure code generation by aggregating multi-layer semantic cues in LLMs, improving vulnerability detection and preserving code correctne...
BadImplant: Multi-Targeted Injection Backdoor Attack on GNNs
Discover BadImplant, a novel injection-based multi-targeted backdoor attack on graph neural networks that preserves graph integrity and evades defenses.