Niv Cohen
10 papers · 2021–2025 · 5 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (27) 👥 Mega-Team · Squad
💎
Century Club · Bronze
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(7)
Deep Learning
(6)
Learning Types · Machine Learning
(5)
Artificial Intelligence
(4)
Computer Vision
(4)
Application Areas
(4)
Core Methods
(4)
Models
(4)
Analysis
(3)
Learning Types · Deep Learning
(3)
Core AI
(2)
Learning Paradigms
(2)
Computer Science
(1)
Applications
(1)
Generation
(1)
Keywords
anomaly detection
(2)
self-supervised learning
(2)
image watermarking
(2)
deepfake detection
(2)
diffusion model
(2)
locality sensitive hashing
(1)
transfer learning
(1)
image classification
(1)
in-context learning
(1)
knowledge distillation
(1)
model security
(1)
synthetic data generation
(1)
disentangled representation
(1)
adversarial attack
(1)
generative model
(1)
density estimation
(1)
zero-shot learning
(1)
semantic embedding
(1)
parameter-efficient fine-tuning
(1)
representation learning
(1)
Papers
Hidden in the Noise: Two-Stage Robust Watermarking for Images
ICLR 2025
SEAL: Semantic Aware Image Watermarking
ICCV 2025
Circumventing Concept Erasure Methods For Text-To-Image Generative Models
ICLR 2024
Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition
NeurIPS 2024
SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image Classification
NeurIPS 2024
TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks
NeurIPS 2024
Red PANDA: Disambiguating Image Anomaly Detection by Removing Nuisance Factors
ICLR 2023
"“This Is My Unicorn, Fluffy”: Personalizing Frozen Vision-Language Representations"
ECCV 2022
An Image is Worth More Than a Thousand Words: Towards Disentanglement in The Wild
NeurIPS 2021
PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation
CVPR 2021