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ORCIDRohit Gandikota
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2020 – today
- 2025
[j1]Zora Che, Stephen Casper, Robert Kirk, Anirudh Satheesh, Stewart Slocum, Lev E. McKinney, Rohit Gandikota, Aidan Ewart, Domenic Rosati, Zichu Wu, Zikui Cai, Bilal Chughtai, Yarin Gal, Furong Huang, Dylan Hadfield-Menell:
Model Tampering Attacks Enable More Rigorous Evaluations of LLM Capabilities. Trans. Mach. Learn. Res. 2025 (2025)- [i15]Rohit Gandikota, Zongze Wu, Richard Zhang, David Bau, Eli Shechtman, Nicholas I. Kolkin:
SliderSpace: Decomposing the Visual Capabilities of Diffusion Models. CoRR abs/2502.01639 (2025) - [i14]Zora Che, Stephen Casper, Robert Kirk, Anirudh Satheesh, Stewart Slocum, Lev E. McKinney, Rohit Gandikota, Aidan Ewart, Domenic Rosati, Zichu Wu, Zikui Cai, Bilal Chughtai, Yarin Gal, Furong Huang, Dylan Hadfield-Menell:
Model Tampering Attacks Enable More Rigorous Evaluations of LLM Capabilities. CoRR abs/2502.05209 (2025) - [i13]Rohit Gandikota, David Bau:
Distilling Diversity and Control in Diffusion Models. CoRR abs/2503.10637 (2025) - [i12]Kevin Lu, Nicky Kriplani, Rohit Gandikota, Minh Pham, David Bau, Chinmay Hegde, Niv Cohen:
When Are Concepts Erased From Diffusion Models? CoRR abs/2505.17013 (2025) - [i11]Can Rager, Chris Wendler, Rohit Gandikota, David Bau:
Discovering Forbidden Topics in Language Models. CoRR abs/2505.17441 (2025) - [i10]Roy Rinberg, Usha Bhalla, Igor Shilov, Flávio P. Calmon, Rohit Gandikota:
RippleBench: Capturing Ripple Effects Using Existing Knowledge Repositories. CoRR abs/2512.04144 (2025) - [i9]Eric Todd
, Jannik Brinkmann, Rohit Gandikota, David Bau:
In-Context Algebra. CoRR abs/2512.16902 (2025) - 2024
- [c12]Rohit Gandikota, Joanna Materzynska, Tingrui Zhou, Antonio Torralba, David Bau:
Concept Sliders: LoRA Adaptors for Precise Control in Diffusion Models. ECCV (40) 2024: 172-188 - [c11]Rohit Gandikota, Hadas Orgad, Yonatan Belinkov, Joanna Materzynska, David Bau:
Unified Concept Editing in Diffusion Models. WACV 2024: 5099-5108 - [i8]Rohit Gandikota, Sheridan Feucht, Samuel Marks, David Bau:
Erasing Conceptual Knowledge from Language Models. CoRR abs/2410.02760 (2024) - [i7]Hui Ren, Joanna Materzynska, Rohit Gandikota, David Bau, Antonio Torralba:
Art-Free Generative Models: Art Creation Without Graphic Art Knowledge. CoRR abs/2412.00176 (2024) - 2023
- [c10]Rohit Gandikota, Joanna Materzynska, Jaden Fiotto-Kaufman, David Bau:
Erasing Concepts from Diffusion Models. ICCV 2023: 2426-2436 - [i6]Rohit Gandikota, Joanna Materzynska, Jaden Fiotto-Kaufman, David Bau:
Erasing Concepts from Diffusion Models. CoRR abs/2303.07345 (2023) - [i5]Rohit Gandikota, Hadas Orgad, Yonatan Belinkov, Joanna Materzynska, David Bau:
Unified Concept Editing in Diffusion Models. CoRR abs/2308.14761 (2023) - [i4]Rohit Gandikota, Joanna Materzynska, Tingrui Zhou, Antonio Torralba, David Bau:
Concept Sliders: LoRA Adaptors for Precise Control in Diffusion Models. CoRR abs/2311.12092 (2023) - 2022
- [c9]Rohit Gandikota, Nicholas Brown:
Pro-DDPM: Progressive Growing of Variable Denoising Diffusion Probabilistic Models for Faster Convergence. BMVC 2022: 121 - [c8]Rohit Gandikota, Deepak Mishra:
HD-VAE-GAN: Hiding Data with Variational Autoencoder Generative Adversarial Networks. CVIP (1) 2022: 29-43 - [c7]Rohit Gandikota, Deepak Mishra:
Share-GAN: A Novel Shared Task Training in Generative Adversarial Networks for Data Hiding. CVIP (1) 2022: 44-57 - [c6]Rohit Gandikota, Deepak Mishra, Nik Bear Brown:
Hiding Video in Images: Harnessing Adversarial Learning on Deep 3D-Spatio-Temporal Convolutional Neural Networks. CVIP (1) 2022: 58-71 - [c5]Rohit Gandikota, Deepak Mishra:
Dismon-Gan: 24×7 All-Weather Optical Domain Surveillance Using Progressively Growing Adversarial Networks with Patch Discriminator. IGARSS 2022: 501-504 - [c4]Rohit Gandikota, ManjuSarma M:
Pixel Noise Localization Algorithm for Indian Satellite Data Quality Control: A Novel Approach. IGARSS 2022: 7759-7762 - 2020
- [c3]Rohit Gandikota, Radha Krishna K, Anupama Sharma, ManjuSarma M, Vinod M. Bothale:
RTC-GAN: REAL-TIME CLASSIFICATION OF SATELLITE IMAGERY USING DEEP GENERATIVE ADVERSARIAL NETWORKS WITH INFUSED SPECTRAL INFORMATION. IGARSS 2020: 6993-6996
2010 – 2019
- 2019
- [c2]Rohit Gandikota, Deepak Mishra:
Hiding Audio in Images: A Deep Learning Approach. PReMI (2) 2019: 389-399 - [c1]Rohit Gandikota, Deepak Mishra:
How You See Me: Understanding Convolutional Neural Networks. TENCON 2019: 2069-2073 - 2018
- [i3]Rohit Gandikota, Deepak Mishra:
How You See Me. CoRR abs/1811.08152 (2018) - [i2]Rohit Gandikota:
The Child Prodigies of IEEE 802.11 Family. CoRR abs/1811.09391 (2018) - [i1]Rohit Gandikota:
Computer Vision for Autonomous Vehicles. CoRR abs/1812.02542 (2018)
Coauthor Index
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