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We introduce a new type of indirect, cross-modal injection attacks against visual language models that enable creation of self-interpreting images.
Spin doctors in the United States, Great Britain, and Germany: Metacommunication about media manipulation
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ImageNet large scale visual recognition challenge
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Adversarial patch
Tom B Brown, Dandelion Mané, Aurko Roy, Martín Abadi, and Justin Gilmer · 2017
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Towards deep learning models resistant to adversarial attacks
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Dear sir or madam, may I introduce the GYAFC dataset: Corpus, benchmarks and metrics for formality style transfer
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On the suitability of L p {L}_{p} -norms for creating and preventing adversarial examples
Mahmood Sharif, Lujo Bauer, and Michael K Reiter · 2018
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RoBERTa: A robustly optimized BERT pretraining approach
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Feature distillation: DNN-oriented JPEG compression against adversarial examples
Zihao Liu, Qi Liu, Tao Liu, Nuo Xu, Xue Lin, Yanzhi Wang, and Wujie Wen · 2019
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DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Victor Sanh, Lysandre Debut, Julien Chaumond, and Thomas Wolf · 2019
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Adversarial training for free!
Ali Shafahi, Mahyar Najibi, Mohammad Amin Ghiasi, Zheng Xu, John Dickerson, Christoph Studer, Larry S Davis, Gavin Taylor, and Tom Goldstein · 2019
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TweetEval: Unified benchmark and comparative evaluation for tweet classification
Francesco Barbieri, Jose Camacho-Collados, Leonardo Neves, and Luis Espinosa-Anke · 2020
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Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
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The power of scale for parameter-efficient prompt tuning
Brian Lester, Rami Al-Rfou, and Noah Constant · 2021
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Ethical and social risks of harm from language models
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Spinning language models: Risks of propaganda-as-a-service and countermeasures
Eugene Bagdasaryan and Vitaly Shmatikov · 2022
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TweetNLP: Cutting-edge natural language processing for social media
Jose Camacho-Collados, Kiamehr Rezaee, Talayeh Riahi, Asahi Ushio, Daniel Loureiro, Dimosthenis Antypas, Joanne Boisson, Luis Espinosa Anke, Fangyu Liu, and Eugenio Martínez Cámara · 2022
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TimeLMs: Diachronic language models from Twitter
Daniel Loureiro, Francesco Barbieri, Leonardo Neves, Luis Espinosa Anke, and Jose Camacho-collados · 2022
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LLaVA-Med: Training a large language-and-vision assistant for biomedicine in one day
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Visual instruction tuning
Haotian Liu, Chunyuan Li, Qingyang Wu, and Yong Jae Lee · 2023
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SmoothLLM: Defending large language models against jailbreaking attacks
Alexander Robey, Eric Wong, Hamed Hassani, and George J Pappas · 2023
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LLaMA 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al · 2023
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On evaluating adversarial robustness of large vision-language models
Yunqing Zhao, Tianyu Pang, Chao Du, Xiao Yang, Chongxuan Li, Ngai-Man Man Cheung, and Min Lin · 2023
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Adversarial contrastive learning via asymmetric InfoNCE
Qiying Yu, Jieming Lou, Xianyuan Zhan, Qizhang Li, Wangmeng Zuo, Yang Liu, and Jingjing Liu · 2022
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Don’t lose the message while paraphrasing: A study on content preserving style transfer
Nikolay Babakov, David Dale, Ilya Gusev, Irina Krotova, and Alexander Panchenko · 2023
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Abusing images and sounds for indirect instruction injection in multi-modal LLMs
Eugene Bagdasaryan, Tsung-Yin Hsieh, Ben Nassi, and Vitaly Shmatikov · 2023
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Image hijacks: Adversarial images can control generative models at runtime
Luke Bailey, Euan Ong, Stuart Russell, and Scott Emmons · 2023
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Defending against alignment-breaking attacks via robustly aligned LLM
Bochuan Cao, Yuanpu Cao, Lu Lin, and Jinghui Chen · 2023
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Jailbreaker in jail: Moving target defense for large language models
Bocheng Chen, Advait Paliwal, and Qiben Yan · 2023
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Instructblip: Towards general-purpose vision-language models with instruction tuning
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MiniGPT-4: Enhancing vision-language understanding with advanced large language models
Deyao Zhu, Jun Chen, Xiaoqian Shen, Xiang Li, and Mohamed Elhoseiny · 2023
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Homepage
Lakera AI · 2024
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Formalizing and benchmarking prompt injection attacks and defenses
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Visual adversarial examples jailbreak aligned large language models
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The instruction hierarchy: Training LLMs to prioritize privileged instructions
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Bias in ai autocomplete suggestions leads to attitude shift on societal issues
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Adversarial illusions in multi-modal embeddings
Tingwei Zhang, Rishi Jha, Eugene Bagdasaryan, and Vitaly Shmatikov · 2024
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