Rohit Gandikota

29 papers A* 1A 2C 4Journal 17Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Agents of Chaos. CoRR Natalie Shapira, Chris Wendler, Avery Yen, Gabriele Sarti, Koyena Pal, Olivia Floody, Adam Belfki, Alexander R. Loftus, Aditya Ratan Jannali, Nikhil Prakash, Jasmine Cui, Giordano Rogers, Jannik Brinkmann, Can Rager, Amir Zur, Michael Ripa, Aruna Sankaranarayanan, David Atkinson, Rohit Gandikota, Jaden Fiotto-Kaufman, Eunjeong Hwang, Hadas Orgad, P. Sam Sahil, Negev Taglicht, Tomer Shabtay, Atai Ambus, Nitay Alon, Shiri Oron, Ayelet Gordon-Tapiero, Yotam Kaplan, Vered Shwartz, Tamar Rott Shaham, Christoph Riedl, Reuth Mirsky, Maarten Sap, David Manheim, Tomer Ullman, David Bau
2025	J	`jnl`	Discovering Forbidden Topics in Language Models. CoRR Can Rager, Chris Wendler, Rohit Gandikota, David Bau
2025	J	`jnl`	Distilling Diversity and Control in Diffusion Models. CoRR Rohit Gandikota, David Bau
2025	J	`jnl`	In-Context Algebra. CoRR Eric Todd, Jannik Brinkmann, Rohit Gandikota, David Bau
2025	J	`jnl`	Model Tampering Attacks Enable More Rigorous Evaluations of LLM Capabilities. CoRR 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
2025	J	`jnl`	Model Tampering Attacks Enable More Rigorous Evaluations of LLM Capabilities. Trans. Mach. Learn. Res. 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
2025	J	`jnl`	RippleBench: Capturing Ripple Effects Using Existing Knowledge Repositories. CoRR Roy Rinberg, Usha Bhalla, Igor Shilov, Flávio P. Calmon, Rohit Gandikota
2025	J	`jnl`	SliderSpace: Decomposing the Visual Capabilities of Diffusion Models. CoRR Rohit Gandikota, Zongze Wu, Richard Zhang, David Bau, Eli Shechtman, Nicholas I. Kolkin
2025	J	`jnl`	When Are Concepts Erased From Diffusion Models? CoRR Kevin Lu, Nicky Kriplani, Rohit Gandikota, Minh Pham, David Bau, Chinmay Hegde, Niv Cohen
2024	J	`jnl`	Art-Free Generative Models: Art Creation Without Graphic Art Knowledge. CoRR Hui Ren, Joanna Materzynska, Rohit Gandikota, David Bau, Antonio Torralba
2024	—	`conf`	Concept Sliders: LoRA Adaptors for Precise Control in Diffusion Models. ECCV (40) Rohit Gandikota, Joanna Materzynska, Tingrui Zhou, Antonio Torralba, David Bau
2024	J	`jnl`	Erasing Conceptual Knowledge from Language Models. CoRR Rohit Gandikota, Sheridan Feucht, Samuel Marks, David Bau
2024	A	`conf`	Unified Concept Editing in Diffusion Models. WACV Rohit Gandikota, Hadas Orgad, Yonatan Belinkov, Joanna Materzynska, David Bau
2023	J	`jnl`	Concept Sliders: LoRA Adaptors for Precise Control in Diffusion Models. CoRR Rohit Gandikota, Joanna Materzynska, Tingrui Zhou, Antonio Torralba, David Bau
2023	A*	`conf`	Erasing Concepts from Diffusion Models. ICCV Rohit Gandikota, Joanna Materzynska, Jaden Fiotto-Kaufman, David Bau
2023	J	`jnl`	Erasing Concepts from Diffusion Models. CoRR Rohit Gandikota, Joanna Materzynska, Jaden Fiotto-Kaufman, David Bau
2023	J	`jnl`	Unified Concept Editing in Diffusion Models. CoRR Rohit Gandikota, Hadas Orgad, Yonatan Belinkov, Joanna Materzynska, David Bau
2022	C	`conf`	Dismon-Gan: 24×7 All-Weather Optical Domain Surveillance Using Progressively Growing Adversarial Networks with Patch Discriminator. IGARSS Rohit Gandikota, Deepak Mishra
2022	—	`conf`	HD-VAE-GAN: Hiding Data with Variational Autoencoder Generative Adversarial Networks. CVIP (1) Rohit Gandikota, Deepak Mishra
2022	—	`conf`	Hiding Video in Images: Harnessing Adversarial Learning on Deep 3D-Spatio-Temporal Convolutional Neural Networks. CVIP (1) Rohit Gandikota, Deepak Mishra, Nik Bear Brown
2022	C	`conf`	Pixel Noise Localization Algorithm for Indian Satellite Data Quality Control: A Novel Approach. IGARSS Rohit Gandikota, ManjuSarma M
2022	A	`conf`	Pro-DDPM: Progressive Growing of Variable Denoising Diffusion Probabilistic Models for Faster Convergence. BMVC Rohit Gandikota, Nicholas Brown
2022	—	`conf`	Share-GAN: A Novel Shared Task Training in Generative Adversarial Networks for Data Hiding. CVIP (1) Rohit Gandikota, Deepak Mishra
2020	C	`conf`	RTC-GAN: REAL-TIME CLASSIFICATION OF SATELLITE IMAGERY USING DEEP GENERATIVE ADVERSARIAL NETWORKS WITH INFUSED SPECTRAL INFORMATION. IGARSS Rohit Gandikota, Radha Krishna K, Anupama Sharma, ManjuSarma M, Vinod M. Bothale
2019	—	`conf`	Hiding Audio in Images: A Deep Learning Approach. PReMI (2) Rohit Gandikota, Deepak Mishra
2019	C	`conf`	How You See Me: Understanding Convolutional Neural Networks. TENCON Rohit Gandikota, Deepak Mishra
2018	J	`jnl`	Computer Vision for Autonomous Vehicles. CoRR Rohit Gandikota
2018	J	`jnl`	How You See Me. CoRR Rohit Gandikota, Deepak Mishra
2018	J	`jnl`	The Child Prodigies of IEEE 802.11 Family. CoRR Rohit Gandikota