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cs.CR2025
SteganoBackdoor: Evading Data-Poisoning Defenses via Steganographic Backdoors
Eric Xue, Ruiyi Zhang, Pengtao Xie
Transformer-based models are highly susceptible to backdoor attacks via supervised fine-tuning (SFT). To red-team existing data-poisoning defenses, prior work has increasingly focu…
cs.CL2025
Defense against Prompt Injection Attacks via Mixture of Encodings
Ruiyi Zhang, David Sullivan, Kyle Jackson +2
Large Language Models (LLMs) have emerged as a dominant approach for a wide range of NLP tasks, with their access to external information further enhancing their capabilities. Howe…