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Large Multimodal Models (LMMs) are increasingly vulnerable to AI-generated extremist content, including photorealistic images and text, which can be used to bypass safety mechanisms and generate harmful outputs.
Generative design for textiles: opportunities and challenges for entertainment ai
Gillian Smith. 2017 · 2017
Earlier work this paper cites.
Improving black-box adversarial attacks with a transfer-based prior
Shuyu Cheng, Yinpeng Dong, Tianyu Pang, Hang Su, and Jun Zhu. 2019 · 2019
Earlier work this paper cites.
Jinze Bai, Shuai Bai, Yunfei Chu, Zeyu Cui, Kai Dang, Xiaodong Deng, Yang Fan, Wenbin Ge, Yu Han, Fei Huang, et al. 2023 · 2023
Earlier work this paper cites.
Image hijacks: Adversarial images can control generative models at runtime
Luke Bailey, Euan Ong, Stuart Russell, and Scott Emmons. 2023 · 2023
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Yihan Cao, Siyu Li, Yixin Liu, Zhiling Yan, Yutong Dai, Philip S Yu, and Lichao Sun. 2023 · 2023
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Instructblip: Towards general-purpose vision-language models with instruction tuning
Wenliang Dai, Junnan Li, Dongxu Li, Anthony Meng Huat Tiong, Junqi Zhao, Weisheng Wang, Boyang Li, Pascale Fung, and Steven Hoi. 2023 · 2023
Earlier work this paper cites.
Adversarial attacks to multi-modal models
Zhihao Dou, Xin Hu, Haibo Yang, Zhuqing Liu, and Minghong Fang. 2023 · 2023
Earlier work this paper cites.
Guidance for generative AI in education and research
Wayne Holmes, Fengchun Miao, et al. 2023 · 2023
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Conflict events worldwide since 1468bc: Introducing the historical conflict event dataset
Charles Miller and K Shuvo Bakar. 2023 · 2023
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Sdxl: Improving latent diffusion models for high-resolution image synthesis
Dustin Podell, Zion English, Kyle Lacey, Andreas Blattmann, Tim Dockhorn, Jonas Müller, Joe Penna, and Robin Rombach. 2023 · 2023
Earlier work this paper cites.
Engineering education in the era of chatgpt: Promise and pitfalls of generative ai for education
Junaid Qadir. 2023 · 2023
Earlier work this paper cites.
Visual adversarial examples jailbreak aligned large language models
Xiangyu Qi, Kaixuan Huang, Ashwinee Panda, Peter Henderson, Mengdi Wang, and Prateek Mittal. 2023 · 2023
Earlier work this paper cites.
Tovilag: Your visual-language generative model is also an evildoer
Xinpeng Wang, Xiaoyuan Yi, Han Jiang, Shanlin Zhou, Zhihua Wei, and Xing Xie. 2023 · 2023
Cited alongside, same era.
Ai-generated content (aigc): A survey
Jiayang Wu, Wensheng Gan, Zefeng Chen, Shicheng Wan, and Hong Lin. 2023 · 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 Cheung, and Min Lin. 2023 · 2023
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The impact of generative ai tools on researchers and research: Implications for academia in higher education
Abdulrahman M Al-Zahrani. 2024 · 2024
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Generative artificial intelligence in surgery
Severin Rodler, Conner Ganjavi, Pieter De Backer, Vasileios Magoulianitis, Lorenzo Storino Ramacciotti, Andre Luis De Castro Abreu, Inderbir S Gill, and Giovanni E Cacciamani. 2024 · 2024
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Generative ai models and capabilities in cancer medical imaging and applications
B Sakthivel, P Vanathi, M Ramya Sri, S Subashini, Vijaya Krishna Sonthi, and C Sathish. 2024 · 2024
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Navigating the web of disinformation and misinformation: Large language models as double-edged swords
Siddhant Bikram Shah, Surendrabikram Thapa, Ashish Acharya, Kritesh Rauniyar, Sweta Poudel, Sandesh Jain, Anum Masood, and Usman Naseem. 2024 · 2024
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Infimm: Advancing multimodal understanding from flamingo’s legacy through diverse llm integration
InfiMM Team. 2024 · 2024
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Did you tell a deadly lie? evaluating large language models for health misinformation identification
Surendrabikram Thapa, Kritesh Rauniyar, Hariram Veeramani, Aditya Shah, Imran Razzak, and Usman Naseem. 2024 · 2024
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Zechen Bai, Pichao Wang, Tianjun Xiao, Tong He, Zongbo Han, Zheng Zhang, and Mike Zheng Shou. 2024 · 2024
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Jason Baldridge, Jakob Bauer, Mukul Bhutani, Nicole Brichtova, Andrew Bunner, Kelvin Chan, Yichang Chen, Sander Dieleman, Yuqing Du, Zach Eaton-Rosen, et al. 2024 · 2024
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Advancing the democratization of generative artificial intelligence in healthcare: a narrative review
Anjun Chen, Lei Liu, and Tongyu Zhu. 2024 · 2024
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Xiaoyi Dong, Pan Zhang, Yuhang Zang, Yuhang Cao, Bin Wang, Linke Ouyang, Xilin Wei, Songyang Zhang, Haodong Duan, Maosong Cao, et al. 2024 · 2024
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Scaling rectified flow transformers for high-resolution image synthesis
Patrick Esser, Sumith Kulal, Andreas Blattmann, Rahim Entezari, Jonas Müller, Harry Saini, Yam Levi, Dominik Lorenz, Axel Sauer, Frederic Boesel, et al. 2024 · 2024
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Mllmguard: A multi-dimensional safety evaluation suite for multimodal large language models
Tianle Gu, Zeyang Zhou, Kexin Huang, Dandan Liang, Yixu Wang, Haiquan Zhao, Yuanqi Yao, Xingge Qiao, Keqing Wang, Yujiu Yang, et al. 2024 · 2024
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Can large language models enhance predictions of disease progression? investigating through disease network link prediction
Haohui Lu and Usman Naseem. 2024 · 2024
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Jailbreaking attack against multimodal large language model
Zhenxing Niu, Haodong Ren, Xinbo Gao, Gang Hua, and Rong Jin. 2024 · 2024
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Syed Talal Ahmad, Haohui Lu, Sidong Liu, Annie Lau, Amin Beheshti, Mark Dras, and Usman Naseem. 2025 · 2025
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Hate speech detection using large language models: A comprehensive review
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Evaluating personality traits in large language models: Insights from psychological questionnaires
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Janus-pro: Unified multimodal understanding and generation with data and model scaling
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