#backdoor-defense News & Analysis

2 articles tagged with #backdoor-defense. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AIBullisharXiv – CS AI · May 127/10

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Trapping Attacker in Dilemma: Examining Internal Correlations and External Influences of Trigger for Defending GNN Backdoors

Researchers introduce PRAETORIAN, a novel defense mechanism against backdoor attacks on Graph Neural Networks that targets the fundamental requirements of effective attacks rather than surface-level indicators. The defense achieves a 99.45% reduction in attack success rates while maintaining minimal accuracy degradation, forcing adversaries into an unfavorable trade-off between attack effectiveness and detectability.

AINeutralarXiv – CS AI · May 97/10

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BehaviorGuard: Online Backdoor Defense for Deep Reinforcement Learning

Researchers propose BehaviorGuard, an online defense framework against backdoor attacks in deep reinforcement learning that detects malicious behavior by analyzing action distribution shifts rather than relying on reward anomalies or model fine-tuning. The approach works in both single and multi-agent DRL environments and demonstrates superior efficacy and efficiency compared to existing defense methods.