arXiv cs.CR·2d agoT-Backdoor: Exploiting Temporal Redundancy in Neuromorphic Data for Spike-preserving Backdoor Attacks on SNNs#snn#backdoor#neuromorphicAI safety & security
arXiv cs.CR·2d agoWhen Temporal Perturbations Act Like Sensor Biases: Label-Free Auditing of Wearable Activity Recognizers#spectrumaudit#wearable#human-activity-recognitionResearch
arXiv cs.CR·4d agoRAMP: Reversing Adversarial Perturbations to Strengthen Clean-Label Backdoor Attacks against Malware Detectors#backdoor#malware-detection#adversarial-mlResearch
arXiv cs.CR·4d agoLoRango: It Takes Two LoRAs to Unlock Hidden Behaviors in Diffusion Models#lora#diffusion-model#text-to-imageAI safety & security
arXiv cs.CR·8d agoMicro-Collaborative Poisoning: A Distributed Attack on RAG Systems#rag#data-poisoning#llmAI safety & security
arXiv cs.CR·11d agoA GAN-Based Framework for Robust DDoS Attack Detection#adversarial-ml#cicddos2019#ddosResearch
arXiv cs.CR·11d agoInceptionRAG: Stealthy Poisoning Attack Against Retrieval-Augmented Generation#adversarial-ml#corpus-poisoning#indirect-prompt-injectionResearch1
arXiv cs.CR·12d agoImplementing a White-Box Undetectable Backdoor for Random Fourier Features#adversarial-ml#backdoor#clweResearch
arXiv cs.CR·18d agoWindows Malware Detector as a Compound AI System: Trade-Offs in Accuracy, Efficiency, and Adversarial Robustness#adversarial-ml#compound-ai#evasionResearch1