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ORCIDRama Chellappa
- > Home > Persons > Rama Chellappa
Publications
- 2023
[j279]Chun Pong Lau
, Jiang Liu, Hossein Souri, Wei-An Lin, Soheil Feizi, Rama Chellappa:
Interpolated Joint Space Adversarial Training for Robust and Generalizable Defenses. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13054-13067 (2023)- [i140]Jiang Liu, Chen Wei, Yuxiang Guo, Heng Yu, Alan L. Yuille, Soheil Feizi, Chun Pong Lau, Rama Chellappa:
Instruct2Attack: Language-Guided Semantic Adversarial Attacks. CoRR abs/2311.15551 (2023) - 2022
- [j276]Jiang Liu, Chun Pong Lau, Hossein Souri, Soheil Feizi, Rama Chellappa:
Mutual Adversarial Training: Learning Together is Better Than Going Alone. IEEE Trans. Inf. Forensics Secur. 17: 2364-2377 (2022) - [c489]Jiang Liu, Alexander Levine, Chun Pong Lau, Rama Chellappa, Soheil Feizi:
Segment and Complete: Defending Object Detectors against Adversarial Patch Attacks with Robust Patch Detection. CVPR 2022: 14953-14962 - 2021
- [i106]Jiang Liu, Alexander Levine, Chun Pong Lau, Rama Chellappa, Soheil Feizi:
Segment and Complete: Defending Object Detectors against Adversarial Patch Attacks with Robust Patch Detection. CoRR abs/2112.04532 (2021) - [i105]Jiang Liu, Chun Pong Lau, Hossein Souri, Soheil Feizi, Rama Chellappa:
Mutual Adversarial Training: Learning together is better than going alone. CoRR abs/2112.05005 (2021) - [i104]Chun Pong Lau, Jiang Liu, Hossein Souri, Wei-An Lin, Soheil Feizi, Rama Chellappa:
Interpolated Joint Space Adversarial Training for Robust and Generalizable Defenses. CoRR abs/2112.06323 (2021) - 2020
- [c456]Yogesh Balaji, Rama Chellappa, Soheil Feizi:
Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation. NeurIPS 2020 - [c455]Wei-An Lin, Chun Pong Lau, Alexander Levine, Rama Chellappa, Soheil Feizi:
Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks. NeurIPS 2020 - [i92]Wei-An Lin, Chun Pong Lau, Alexander Levine, Rama Chellappa, Soheil Feizi:
Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks. CoRR abs/2009.02470 (2020) - [i91]Pirazh Khorramshahi, Hossein Souri, Rama Chellappa, Soheil Feizi:
GANs with Variational Entropy Regularizers: Applications in Mitigating the Mode-Collapse Issue. CoRR abs/2009.11921 (2020) - [i90]Yogesh Balaji, Rama Chellappa, Soheil Feizi:
Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation. CoRR abs/2010.05862 (2020) - 2019
- [c443]Yogesh Balaji, Rama Chellappa, Soheil Feizi:
Normalized Wasserstein for Mixture Distributions With Applications in Adversarial Learning and Domain Adaptation. ICCV 2019: 6499-6507 - [c441]Yogesh Balaji, Hamed Hassani, Rama Chellappa, Soheil Feizi:
Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs. ICML 2019: 414-423 - [i87]Yogesh Balaji, Rama Chellappa, Soheil Feizi:
Normalized Wasserstein Distance for Mixture Distributions with Applications in Adversarial Learning and Domain Adaptation. CoRR abs/1902.00415 (2019) - 2018
- [i56]Yogesh Balaji, Hamed Hassani, Rama Chellappa, Soheil Feizi:
Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs. CoRR abs/1810.04147 (2018)
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