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Large Vision Language Models (VLMs) extend and enhance the perceptual abilities of Large Language Models (LLMs).
Adversarial examples are not easily detected: Bypassing ten detection methods. In Proc. of AISec
Nicholas Carlini and David Wagner. 2017 · 2017
Earlier work this paper cites.
Sok: Security and privacy in machine learning. In Proc. of EuroS&P
Nicolas Papernot, Patrick McDaniel, Arunesh Sinha, and Michael P Wellman. 2018 · 2018
Earlier work this paper cites.
BERTScore: Evaluating Text Generation with BERT. In Proc. of ICLR
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q Weinberger, and Yoav Artzi. 2019 · 2019
Earlier work this paper cites.
BAE: BERT-based Adversarial Examples for Text Classification. In Proc. of EMNLP
Siddhant Garg and Goutham Ramakrishnan. 2020 · 2020
Earlier work this paper cites.
Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J Liu. 2020 · 2020
Earlier work this paper cites.
Multimodal few-shot learning with frozen language models. In Proc. of NeurIPS
Maria Tsimpoukelli, Jacob L Menick, Serkan Cabi, SM Eslami, Oriol Vinyals, and Felix Hill. 2021 · 2021
Earlier work this paper cites.
Flamingo: a visual language model for few-shot learning. In Proc. of NeurIPS
Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, Antoine Miech, Iain Barr, Yana Hasson, Karel Lenc, Arthur Mensch, Katherine Millican, Malcolm Reynolds, et al · 2022
Earlier work this paper cites.
Dos and don’ts of machine learning in computer security. In Proc. of USENIX Security
Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, and Konrad Rieck. 2022 · 2022
Earlier work this paper cites.
Spinning language models: Risks of propaganda-as-a-service and countermeasures. In Proc. of IEEE S&P
Eugene Bagdasaryan and Vitaly Shmatikov. 2022 · 2022
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GLM: General Language Model Pretraining with Autoregressive Blank Infilling. In Proc. of ACL . 320–335
Zhengxiao Du, Yujie Qian, Xiao Liu, Ming Ding, Jiezhong Qiu, Zhilin Yang, and Jie Tang. 2022 · 2022
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Idea: Increasing text diversity via online multi-label recognition for vision-language pre-training. In Proc. of ACM MM
Xinyu Huang, Youcai Zhang, Ying Cheng, Weiwei Tian, Ruiwei Zhao, Rui Feng, Yuejie Zhang, Yaqian Li, Yandong Guo, and Xiaobo Zhang. 2022 · 2022
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Reducing the vision and language bias for temporal sentence grounding. In Proc. of ACM MM
Daizong Liu, Xiaoye Qu, and Wei Hu. 2022 · 2022
Earlier work this paper cites.
Red Teaming Language Models with Language Models. In Proc. of EMNLP
Ethan Perez, Saffron Huang, Francis Song, Trevor Cai, Roman Ring, John Aslanides, Amelia Glaese, Nat McAleese, and Geoffrey Irving. 2022 · 2022
Earlier work this paper cites.
On the Adversarial Robustness of Vision Transformers. In Proc. of NeurIPS
Rulin Shao, Zhouxing Shi, Jinfeng Yi, Pin-Yu Chen, and Cho-jui Hsieh. 2022 · 2022
Earlier work this paper cites.
Qwen-vl: A frontier large vision-language model with versatile abilities
Jinze Bai, Shuai Bai, Shusheng Yang, Shijie Wang, Sinan Tan, Peng Wang, Junyang Lin, Chang Zhou, and Jingren Zhou. 2023 · 2023
Earlier work this paper cites.
Red-teaming large language models using chain of utterances for safety-alignment
Rishabh Bhardwaj and Soujanya Poria. 2023 · 2023
Cited alongside, same era.
Are aligned neural networks adversarially aligned?. In Proc. of NeurIPS
Nicholas Carlini, Milad Nasr, Christopher A Choquette-Choo, Matthew Jagielski, Irena Gao, Anas Awadalla, Pang Wei Koh, Daphne Ippolito, Katherine Lee, Florian Tramer, et al · 2023
Cited alongside, same era.
Jailbreaking Black Box Large Language Models in Twenty Queries
Patrick Chao, Alexander Robey, Edgar Dobriban, Hamed Hassani, George J Pappas, and Eric Wong. 2023 · 2023
Cited alongside, same era.
Jailbreaker: Automated jailbreak across multiple large language model chatbots. In Proc. of NDSS
Gelei Deng, Yi Liu, Yuekang Li, Kailong Wang, Ying Zhang, Zefeng Li, Haoyu Wang, Tianwei Zhang, and Yang Liu. 2023 · 2023
Cited alongside, same era.
Llama-adapter v2: Parameter-efficient visual instruction model
OpenAI. 2023 · 2023
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Visual adversarial examples jailbreak aligned large language models. In The Second Workshop on New Frontiers in Adversarial Machine Learning
Xiangyu Qi, Kaixuan Huang, Ashwinee Panda, Mengdi Wang, and Prateek Mittal. 2023 · 2023
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Huachuan Qiu, Shuai Zhang, Anqi Li, Hongliang He, and Zhenzhong Lan. 2023 · 2023
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Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks
Erfan Shayegani, Md Abdullah Al Mamun, Yu Fu, Pedram Zaree, Yue Dong, and Nael Abu-Ghazaleh. 2023 · 2023
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Peng Gao, Jiaming Han, Renrui Zhang, Ziyi Lin, Shijie Geng, Aojun Zhou, Wei Zhang, Pan Lu, Conghui He, Xiangyu Yue, et al · 2023
Cited alongside, same era.
FigStep: Jailbreaking Large Vision-language Models via Typographic Visual Prompts
Yichen Gong, Delong Ran, Jinyuan Liu, Conglei Wang, Tianshuo Cong, Anyu Wang, Sisi Duan, and Xiaoyun Wang. 2023 · 2023
Cited alongside, same era.
Curiosity-driven Red-teaming for Large Language Models. In Proc. of ICLR
Zhang-Wei Hong, Idan Shenfeld, Tsun-Hsuan Wang, Yung-Sung Chuang, Aldo Pareja, James R Glass, Akash Srivastava, and Pulkit Agrawal. 2023 · 2023
Cited alongside, same era.
Training-free Lexical Backdoor Attacks on Language Models. In Proc. of WWW
Yujin Huang, Terry Yue Zhuo, Qiongkai Xu, Han Hu, Xingliang Yuan, and Chunyang Chen. 2023 · 2023
Cited alongside, same era.
BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset. In Proc. of NeurIPS
Jiaming Ji, Mickel Liu, Juntao Dai, Xuehai Pan, Chi Zhang, Ce Bian, Boyuan Chen, Ruiyang Sun, Yizhou Wang, and Yaodong Yang. 2023 · 2023
Cited alongside, same era.
DeepInception: Hypnotize Large Language Model to Be Jailbreaker
Xuan Li, Zhanke Zhou, Jianing Zhu, Jiangchao Yao, Tongliang Liu, and Bo Han. 2023 · 2023
Cited alongside, same era.
AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models
Xiaogeng Liu, Nan Xu, Muhao Chen, and Chaowei Xiao. 2023c · 2023
Cited alongside, same era.
Query-Relevant Images Jailbreak Large Multi-Modal Models
Xin Liu, Yichen Zhu, Yunshi Lan, Chao Yang, and Yu Qiao. 2023d · 2023
Cited alongside, same era.
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al · 2023
Later among the works it cites.
How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs
Haoqin Tu, Chenhang Cui, Zijun Wang, Yiyang Zhou, Bingchen Zhao, Junlin Han, Wangchunshu Zhou, Huaxiu Yao, and Cihang Xie. 2023 · 2023
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Jailbreak and guard aligned language models with only few in-context demonstrations
Zeming Wei, Yifei Wang, and Yisen Wang. 2023b · 2023
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SneakyPrompt: Jailbreaking Text-to-image Generative Models
Yuchen Yang, Bo Hui, Haolin Yuan, Neil Gong, and Yinzhi Cao. 2023 · 2023
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Gptfuzzer: Red teaming large language models with auto-generated jailbreak prompts
Jiahao Yu, Xingwei Lin, and Xinyu Xing. 2023 · 2023
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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 · 2023
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Universal and transferable adversarial attacks on aligned language models
Andy Zou, Zifan Wang, J Zico Kolter, and Matt Fredrikson. 2023 · 2023
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You only prompt once: On the capabilities of prompt learning on large language models to tackle toxic content. In Proc. of IEEE S&P
Xinlei He, Savvas Zannettou, Yun Shen, and Yang Zhang. 2024 · 2024
Closest in time.
Red teaming visual language models
Mukai Li, Lei Li, Yuwei Yin, Masood Ahmed, Zhenguang Liu, and Qi Liu. 2024 · 2024
Closest in time.
Red teaming language model detectors with language models
Zhouxing Shi, Yihan Wang, Fan Yin, Xiangning Chen, Kai-Wei Chang, and Cho-Jui Hsieh. 2024 · 2024
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