Rohit Gandikota

Orcid: 0000-0003-0581-6810

According to our database1, Rohit Gandikota authored at least 22 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2025
Discovering Forbidden Topics in Language Models.
CoRR, May, 2025

When Are Concepts Erased From Diffusion Models?
CoRR, May, 2025

Distilling Diversity and Control in Diffusion Models.
CoRR, March, 2025

SliderSpace: Decomposing the Visual Capabilities of Diffusion Models.
CoRR, February, 2025

Model Tampering Attacks Enable More Rigorous Evaluations of LLM Capabilities.
Trans. Mach. Learn. Res., 2025

2024
Art-Free Generative Models: Art Creation Without Graphic Art Knowledge.
CoRR, 2024

Erasing Conceptual Knowledge from Language Models.
CoRR, 2024

Unified Concept Editing in Diffusion Models.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Concept Sliders: LoRA Adaptors for Precise Control in Diffusion Models.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Erasing Concepts from Diffusion Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Pixel Noise Localization Algorithm for Indian Satellite Data Quality Control: A Novel Approach.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Dismon-Gan: 24×7 All-Weather Optical Domain Surveillance Using Progressively Growing Adversarial Networks with Patch Discriminator.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Hiding Video in Images: Harnessing Adversarial Learning on Deep 3D-Spatio-Temporal Convolutional Neural Networks.
Proceedings of the Computer Vision and Image Processing - 7th International Conference, 2022

Share-GAN: A Novel Shared Task Training in Generative Adversarial Networks for Data Hiding.
Proceedings of the Computer Vision and Image Processing - 7th International Conference, 2022

HD-VAE-GAN: Hiding Data with Variational Autoencoder Generative Adversarial Networks.
Proceedings of the Computer Vision and Image Processing - 7th International Conference, 2022

Pro-DDPM: Progressive Growing of Variable Denoising Diffusion Probabilistic Models for Faster Convergence.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2020
RTC-GAN: REAL-TIME CLASSIFICATION OF SATELLITE IMAGERY USING DEEP GENERATIVE ADVERSARIAL NETWORKS WITH INFUSED SPECTRAL INFORMATION.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
How You See Me: Understanding Convolutional Neural Networks.
Proceedings of the TENCON 2019, 2019

Hiding Audio in Images: A Deep Learning Approach.
Proceedings of the Pattern Recognition and Machine Intelligence, 2019

2018
Computer Vision for Autonomous Vehicles.
CoRR, 2018

The Child Prodigies of IEEE 802.11 Family.
CoRR, 2018

How You See Me.
CoRR, 2018


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