| Erasing concepts from diffusion models R Gandikota, J Materzynska, J Fiotto-Kaufman, D Bau Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 286 | 2023 |
| Unified concept editing in diffusion models R Gandikota, H Orgad, Y Belinkov, J Materzyńska, D Bau Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 137 | 2024 |
| Concept sliders: Lora adaptors for precise control in diffusion models R Gandikota, J Materzyńska, T Zhou, A Torralba, D Bau European Conference on Computer Vision, 172-188, 2024 | 41 | 2024 |
| TrISec: training data-unaware imperceptible security attacks on deep neural networks F Khalid, MA Hanif, S Rehman, R Ahmed, M Shafique 2019 IEEE 25th International symposium on on-line testing and robust system …, 2019 | 31 | 2019 |
| Hiding audio in images: A deep learning approach R Gandikota, D Mishra International Conference on Pattern Recognition and Machine Intelligence …, 2019 | 8 | 2019 |
| DC-Art-GAN: Stable Procedural Content Generation using DC-GANs for Digital Art R Gandikota, NB Brown arXiv preprint arXiv:2209.02847, 2022 | 4 | 2022 |
| Pixel Noise Localization Algorithm for Indian Satellite Data Quality Control: A Novel Approach R Gandikota, M ManjuSarma IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 4 | 2022 |
| RTC-GAN: Real-Time Classification of Satellite Imagery Using Deep Generative Adversarial Networks With Infused Spectral Information R Gandikota, A Sharma, M ManjuSarma, VM Bothale IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 4 | 2020 |
| How you see me: Understanding convolutional neural networks R Gandikota, D Mishra TENCON 2019-2019 IEEE Region 10 Conference (TENCON), 2069-2073, 2019 | 4 | 2019 |
| Computer Vision for Autonomous Vehicles R Gandikota arXiv preprint arXiv:1812.02542, 2018 | 4 | 2018 |
| Erasing conceptual knowledge from language models R Gandikota, S Feucht, S Marks, D Bau arXiv preprint arXiv:2410.02760, 2024 | 3 | 2024 |
| Pro-DDPM: Progressive Growing of Variable Denoising Diffusion Probabilistic Models for Faster Convergence R Gandikota, N Brown 33rd British Machine Vision Conference, 2022 | 3 | 2022 |
| Erasing concepts from diffusion models. CoRR, abs/2303.07345, 2023. doi: 10.48550 R Gandikota, J Materzynska, J Fiotto-Kaufman, D Bau arXiv preprint ARXIV.2303.07345, 225-231, 0 | 3 | |
| Hiding Video in Images: Harnessing Adversarial Learning on Deep 3D-Spatio-Temporal Convolutional Neural Networks R Gandikota, D Mishra, NB Brown International Conference on Computer Vision and Image Processing, 58-71, 2022 | 1 | 2022 |
| Model Tampering Attacks Enable More Rigorous Evaluations of LLM Capabilities Z Che, S Casper, R Kirk, A Satheesh, S Slocum, LE McKinney, ... arXiv preprint arXiv:2502.05209, 2025 | | 2025 |
| SliderSpace: Decomposing the Visual Capabilities of Diffusion Models R Gandikota, Z Wu, R Zhang, D Bau, E Shechtman, N Kolkin arXiv preprint arXiv:2502.01639, 2025 | | 2025 |
| Art-Free Generative Models: Art Creation Without Graphic Art Knowledge H Ren, J Materzynska, R Gandikota, D Bau, A Torralba arXiv preprint arXiv:2412.00176, 2024 | | 2024 |
| Characterizing LLM Visualization Errors SC Spivak, L Podo, R Gandikota, A Krishna, E Bertini, M Tory OSF, 2024 | | 2024 |
| Art-Free Generative Models: Exploring Art Creation Without Prior Artistic Knowledge H Ren, J Materzynska, R Gandikota, D Bau, A Torralba | | |
| Model Manipulation Attacks Enable More Rigorous Evaluations of LLM Capabilities Z Che, S Casper, A Satheesh, R Gandikota, D Rosati, S Slocum, ... Neurips Safe Generative AI Workshop 2024, 0 | | |
David BauAssistant Professor at Northeastern UniversityEmail verificata su northeastern.edu