Niv Cohen

43 papers A* 8Misc 2Journal 30Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Challenges of Space Debris Detection, Tracking, and Monitoring in Near-Earth Orbit: Overview of Current Status and Mitigation Strategies.
Inf.
Motti Haridim, Assaf Shaked, Niv Cohen, Jacob Gavan
2026 J jnl
Understanding Empirical Unlearning with Combinatorial Interpretability.
CoRR
Shingo Kodama, Niv Cohen, Micah Adler, Nir Shavit
2025 Misc conf
Deep Unfolding of Full Waveform Inversion for Quantitative Ultrasound Imaging.
ICASSP
Niv Cohen, Yhonatan Kvich, Rui Guo, Yonina C. Eldar
2025 J jnl
Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image.
CoRR
Anubhav Jain, Yuya Kobayashi, Naoki Murata, Yuhta Takida, Takashi Shibuya, Yuki Mitsufuji, Niv Cohen, Nasir D. Memon, Julian Togelius
2025 A* conf
Hidden in the Noise: Two-Stage Robust Watermarking for Images.
ICLR
Kasra Arabi, Benjamin Feuer, R. Teal Witter, Chinmay Hegde, Niv Cohen
2025 J jnl
SEAL: Semantic Aware Image Watermarking.
CoRR
Kasra Arabi, R. Teal Witter, Chinmay Hegde, Niv Cohen
2025 J jnl
SimKey: A Semantically Aware Key Module for Watermarking Language Models.
CoRR
Shingo Kodama, Haya Diwan, Lucas Rosenblatt, R. Teal Witter, Niv Cohen
2025 J jnl
SolidMark: Evaluating Image Memorization in Generative Models.
CoRR
Nicky Kriplani, Minh Pham, Gowthami Somepalli, Chinmay Hegde, Niv Cohen
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 A* conf
Circumventing Concept Erasure Methods For Text-To-Image Generative Models.
ICLR
Minh Pham, Kelly O. Marshall, Niv Cohen, Govind Mittal, Chinmay Hegde
2024 J jnl
Classifying Nodes in Graphs without GNNs.
CoRR
Daniel Winter, Niv Cohen, Yedid Hoshen
2024 A* conf
Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition.
NeurIPS
Edoardo Debenedetti, Javier Rando, Daniel Paleka, Silaghi Fineas Florin, Dragos Albastroiu, Niv Cohen, Yuval Lemberg, Reshmi Ghosh, Rui Wen, Ahmed Salem, Giovanni Cherubin, Santiago Zanella-Béguelin, Robin Schmid, Victor Klemm, Takahiro Miki, Chenhao Li, Stefan Kraft, Mario Fritz, Florian Tramèr, Sahar Abdelnabi, Lea Schönherr
2024 J jnl
Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition.
CoRR
Edoardo Debenedetti, Javier Rando, Daniel Paleka, Silaghi Fineas Florin, Dragos Albastroiu, Niv Cohen, Yuval Lemberg, Reshmi Ghosh, Rui Wen, Ahmed Salem, Giovanni Cherubin, Santiago Zanella-Béguelin, Robin Schmid, Victor Klemm, Takahiro Miki, Chenhao Li, Stefan Kraft, Mario Fritz, Florian Tramèr, Sahar Abdelnabi, Lea Schönherr
2024 J jnl
Hidden in the Noise: Two-Stage Robust Watermarking for Images.
CoRR
Kasra Arabi, Benjamin Feuer, R. Teal Witter, Chinmay Hegde, Niv Cohen
2024 J jnl
Robust Concept Erasure Using Task Vectors.
CoRR
Minh Pham, Kelly O. Marshall, Chinmay Hegde, Niv Cohen
2024 A* conf
SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image Classification.
NeurIPS
Benjamin Feuer, Jiawei Xu, Niv Cohen, Patrick Yubeaton, Govind Mittal, Chinmay Hegde
2024 J jnl
SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image Classification.
CoRR
Benjamin Feuer, Jiawei Xu, Niv Cohen, Patrick Yubeaton, Govind Mittal, Chinmay Hegde
2024 J jnl
Set Features for Anomaly Detection.
Trans. Mach. Learn. Res.
Niv Cohen, Issar Tzachor, Yedid Hoshen
2024 J jnl
Towards efficient image-based representation of tabular data.
Neural Comput. Appl.
Amit Damri, Mark Last, Niv Cohen
2024 A* conf
TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks.
NeurIPS
Benjamin Feuer, Robin Schirrmeister, Valeriia Cherepanova, Chinmay Hegde, Frank Hutter, Micah Goldblum, Niv Cohen, Colin White
2024 J jnl
TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks.
CoRR
Benjamin Feuer, Robin Tibor Schirrmeister, Valeriia Cherepanova, Chinmay Hegde, Frank Hutter, Micah Goldblum, Niv Cohen, Colin White
2023 J jnl
No Free Lunch: The Hazards of Over-Expressive Representations in Anomaly Detection.
CoRR
Tal Reiss, Niv Cohen, Yedid Hoshen
2023 A* conf
Red PANDA: Disambiguating Image Anomaly Detection by Removing Nuisance Factors.
ICLR
Niv Cohen, Jonathan Kahana, Yedid Hoshen
2023 J jnl
Scaling TabPFN: Sketching and Feature Selection for Tabular Prior-Data Fitted Networks.
CoRR
Benjamin Feuer, Chinmay Hegde, Niv Cohen
2023 J jnl
Set Features for Anomaly Detection.
CoRR
Niv Cohen, Issar Tzachor, Yedid Hoshen
2023 J jnl
Set Features for Fine-grained Anomaly Detection.
CoRR
Niv Cohen, Issar Tzachor, Yedid Hoshen
2022 — conf
"This Is My Unicorn, Fluffy": Personalizing Frozen Vision-Language Representations.
ECCV (20)
Niv Cohen, Rinon Gal, Eli A. Meirom, Gal Chechik, Yuval Atzmon
2022 J jnl
"This is my unicorn, Fluffy": Personalizing frozen vision-language representations.
CoRR
Niv Cohen, Rinon Gal, Eli A. Meirom, Gal Chechik, Yuval Atzmon
2022 — conf
Anomaly Detection Requires Better Representations.
ECCV Workshops (4)
Tal Reiss, Niv Cohen, Eliahu Horwitz, Ron Abutbul, Yedid Hoshen
2022 J jnl
Anomaly Detection Requires Better Representations.
CoRR
Tal Reiss, Niv Cohen, Eliahu Horwitz, Ron Abutbul, Yedid Hoshen
2022 Misc conf
Approaches Toward Physical and General Video Anomaly Detection.
ICASSP
Laura Kart, Niv Cohen
2022 J jnl
Improving Zero-Shot Models with Label Distribution Priors.
CoRR
Jonathan Kahana, Niv Cohen, Yedid Hoshen
2022 — conf
Out-of-Distribution Detection Without Class Labels.
ECCV Workshops (2)
Niv Cohen, Ron Abutbul, Yedid Hoshen
2022 J jnl
Red PANDA: Disambiguating Anomaly Detection by Removing Nuisance Factors.
CoRR
Niv Cohen, Jonathan Kahana, Yedid Hoshen
2021 A* conf
An Image is Worth More Than a Thousand Words: Towards Disentanglement in The Wild.
NeurIPS
Aviv Gabbay, Niv Cohen, Yedid Hoshen
2021 J jnl
An Image is Worth More Than a Thousand Words: Towards Disentanglement in the Wild.
CoRR
Aviv Gabbay, Niv Cohen, Yedid Hoshen
2021 J jnl
Approaches Toward Physical and General Video Anomaly Detection.
CoRR
Laura Kart, Niv Cohen
2021 J jnl
Out-of-Distribution Detection without Class Labels.
CoRR
Niv Cohen, Ron Abutbul, Yedid Hoshen
2021 A* conf
PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation.
CVPR
Tal Reiss, Niv Cohen, Liron Bergman, Yedid Hoshen
2021 J jnl
The Single-Noun Prior for Image Clustering.
CoRR
Niv Cohen, Yedid Hoshen
2020 J jnl
Deep Nearest Neighbor Anomaly Detection.
CoRR
Liron Bergman, Niv Cohen, Yedid Hoshen
2020 J jnl
PANDA - Adapting Pretrained Features for Anomaly Detection.
CoRR
Tal Reiss, Niv Cohen, Liron Bergman, Yedid Hoshen
2020 J jnl
Sub-Image Anomaly Detection with Deep Pyramid Correspondences.
CoRR
Niv Cohen, Yedid Hoshen