arXiv Machine Learning
SteganoBackdoor: Evading Data-Poisoning Defenses via Steganographic Backdoors
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Cordyceps: Covert Control Attacks on LLMs via Data Poisoning
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Breaking the Stealth-Potency Trade-off in Clean-Image Backdoors with Generative Trigger Optimization
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Adjustable Text-Guided Backdoor Attacks with Natural-Word Triggers on Multimodal Pretrained Models
arXiv:2604. 05809v2 Announce Type: replace-cross Abstract: This paper presents Text-Guided Backdoor (TGB), an adjustable backdoor attack against multimodal pretrained models that uses natural-word triggers, namely words that can naturally occur in ordinary textual inputs.
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Jun 3
BYORn: Bootstrap Your Own Responses to Defend Large Vision-Language Models Against Backdoor Attacks
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