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cs.CV2025
Mechanistic Understandings of Representation Vulnerabilities and Engineering Robust Vision Transformers
Chashi Mahiul Islam, Samuel Jacob Chacko, Mao Nishino +1
While transformer-based models dominate NLP and vision applications, their underlying mechanisms to map the input space to the label space semantically are not well understood. In…
cs.CV2024
Unaligning Everything: Or Aligning Any Text to Any Image in Multimodal Models
Shaeke Salman, Md Montasir Bin Shams, Xiuwen Liu
Utilizing a shared embedding space, emerging multimodal models exhibit unprecedented zero-shot capabilities. However, the shared embedding space could lead to new vulnerabilities i…