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Similarity of Neural Architectures Based on Input Gradient Transferability


Oct 20, 2022
Jaehui Hwang, Dongyoon Han, Byeongho Heo, Song Park, Sanghyuk Chun, Jong-Seok Lee

* 21pages, 10 figures, 1.5MB 

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Curved Representation Space of Vision Transformers


Oct 11, 2022
Juyeop Kim, Junha Park, Songkuk Kim, Jong-Seok Lee


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Modeling, Quantifying, and Predicting Subjectivity of Image Aesthetics


Aug 20, 2022
Hyeongnam Jang, Yeejin Lee, Jong-Seok Lee

* 8 pages, 6 figures 

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Analyzing Adversarial Robustness of Vision Transformers against Spatial and Spectral Attacks


Aug 20, 2022
Gihyun Kim, Jong-Seok Lee

* 11 pages, 13 figures 

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Demystifying Randomly Initialized Networks for Evaluating Generative Models


Aug 19, 2022
Junghyuk Lee, Jun-Hyuk Kim, Jong-Seok Lee


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Temporal Shuffling for Defending Deep Action Recognition Models against Adversarial Attacks


Dec 15, 2021
Jaehui Hwang, Huan Zhang, Jun-Ho Choi, Cho-Jui Hsieh, Jong-Seok Lee


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Amicable Aid: Turning Adversarial Attack to Benefit Classification


Dec 09, 2021
Juyeop Kim, Jun-Ho Choi, Soobeom Jang, Jong-Seok Lee

* 16 pages (3 pages for appendix) 

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Joint Global and Local Hierarchical Priors for Learned Image Compression


Dec 08, 2021
Jun-Hyuk Kim, Byeongho Heo, Jong-Seok Lee


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Light Lies: Optical Adversarial Attack


Jul 14, 2021
Kyulim Kim, JeongSoo Kim, Seungri Song, Jun-Ho Choi, Chulmin Joo, Jong-Seok Lee

* 11 pages, 4 figures, author names corrected 

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