Cohen, Niv

19 publications

ICLR 2025 Hidden in the Noise: Two-Stage Robust Watermarking for Images Kasra Arabi, Benjamin Feuer, R. Teal Witter, Chinmay Hegde, Niv Cohen

ICLRW 2025 Hidden in the Noise: Two-Stage Robust Watermarking for Images Kasra Arabi, Benjamin Feuer, R. Teal Witter, Chinmay Hegde, Niv Cohen

ICCV 2025 SEAL: Semantic Aware Image Watermarking Kasra Arabi, R. Teal Witter, Chinmay Hegde, Niv Cohen

NeurIPS 2025 When Are Concepts Erased from Diffusion Models? Kevin Lu, Nicky Kriplani, Rohit Gandikota, Minh Pham, David Bau, Chinmay Hegde, Niv Cohen

ICLR 2024 Circumventing Concept Erasure Methods for Text-to-Image Generative Models Minh Pham, Kelly O. Marshall, Niv Cohen, Govind Mittal, Chinmay Hegde

NeurIPS 2024 Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition Edoardo Debenedetti, Javier Rando, Daniel Paleka, Fineas Silaghi, Dragos Albastroiu, Niv Cohen, Yuval Lemberg, Reshmi Ghosh, Rui Wen, Ahmed Salem, Giovanni Cherubin, Santiago Zanella-Beguelin, Robin Schmid, Victor Klemm, Takahiro Miki, Chenhao Li, Stefan Kraft, Mario Fritz, Florian Tramèr, Sahar Abdelnabi, Lea Schönherr

NeurIPSW 2024 Hidden in the Noise: Two-Stage Robust Watermarking for Images Kasra Arabi, Benjamin Feuer, R. Teal Witter, Chinmay Hegde, Niv Cohen

NeurIPS 2024 SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image Classification Benjamin Feuer, Jiawei Xu, Niv Cohen, Patrick Yubeaton, Govind Mittal, Chinmay Hegde

TMLR 2024 Set Features for Anomaly Detection Niv Cohen, Issar Tzachor, Yedid Hoshen

NeurIPSW 2024 SolidMark: Evaluating Image Memorization in Generative Models Nicky Kriplani, Minh Pham, Gowthami Somepalli, Chinmay Hegde, Niv Cohen

NeurIPSW 2024 SolidMark: How to Evaluate Memorization in Image Generative Models Nicky Kriplani, Minh Pham, Malikka Rajshahi, Chinmay Hegde, Niv Cohen

NeurIPS 2024 TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks Benjamin Feuer, Robin Tibor Schirrmeister, Valeriia Cherepanova, Chinmay Hegde, Frank Hutter, Micah Goldblum, Niv Cohen, Colin White

ICLR 2023 Red PANDA: Disambiguating Image Anomaly Detection by Removing Nuisance Factors Niv Cohen, Jonathan Kahana, Yedid Hoshen

NeurIPSW 2023 Scaling TabPFN: Sketching and Feature Selection for Tabular Prior-Data Fitted Networks Benjamin Feuer, Niv Cohen, Chinmay Hegde

ECCVW 2022 Anomaly Detection Requires Better Representations Tal Reiss, Niv Cohen, Eliahu Horwitz, Ron Abutbul, Yedid Hoshen

ECCVW 2022 Out-of-Distribution Detection Without Class Labels Niv Cohen, Ron Abutbul, Yedid Hoshen

ECCV 2022 “This Is My Unicorn, Fluffy”: Personalizing Frozen Vision-Language Representations Niv Cohen, Rinon Gal, Eli A. Meirom, Gal Chechik, Yuval Atzmon

NeurIPS 2021 An Image Is Worth More than a Thousand Words: Towards Disentanglement in the Wild Aviv Gabbay, Niv Cohen, Yedid Hoshen

CVPR 2021 PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation Tal Reiss, Niv Cohen, Liron Bergman, Yedid Hoshen