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Adversarial Patches Exploiting Contextual Reasoning in Object Detection., , , и . CoRR, (2019)On the Reliability of Watermarks for Large Language Models., , , , , , , , , и . CoRR, (2023)Generating Potent Poisons and Backdoors from Scratch with Guided Diffusion., , , , , , , , , и . CoRR, (2024)Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text., , , , , , , и . CoRR, (2024)Bring Your Own Data! Self-Supervised Evaluation for Large Language Models., , , , , , , , и . CoRR, (2023)NEFTune: Noisy Embeddings Improve Instruction Finetuning., , , , , , , , , и 3 other автор(ы). CoRR, (2023)Baseline Defenses for Adversarial Attacks Against Aligned Language Models., , , , , , , , , и . CoRR, (2023)Backdoor Attacks on Vision Transformers., , , , и . CoRR, (2022)Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs., , , и . CoRR, (2019)Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs., , , и . CVPR, стр. 298-307. Computer Vision Foundation / IEEE, (2020)