Application Areas
34,437 papers (4 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Domain Adaptation (9,897)
Efficient Computing (8,226)
Data Augmentation (3,648)
Fairness (3,574)
Knowledge Distillation (3,219)
Privacy (3,022)
Domain Generalization (1,972)
Model Compression (1,736)
Risk Management (1,119)
Model Merging (592)
Recommender Systems (343)
Information Retrieval (249)
Text Classification (144)
Text Processing (2)
Papers per year
1
3
5
5
4
19
24
28
26
35
42
55
142
116
147
330
517
1,020
1,828
2,498
3,411
3,854
5,063
6,422
7,176
1,666
2000
'5
'10
'15
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'25
Papers (including subtopics)
Privacy Attacks on Image AutoRegressive Models
ICML 2025
Privacy Auditing of Large Language Models
ICLR 2025
Privacy-Aware Lifelong Learning
ICLR 2025
Privacy Checklist: Privacy Violation Detection Grounding on Contextual Integrity Theory
NAACL 2025
Privacy in Action: Towards Realistic Privacy Mitigation and Evaluation for LLM-Powered Agents
EMNLP 2025
Privacy Preserving Data Selection for Bias Mitigation in Speech Models
ACL 2025
Privacy-Preserving Federated Learning for Hate Speech Detection
NAACL 2025
Privacy-Preserving Low-Rank Adaptation Against Membership Inference Attacks for Latent Diffusion Models
AAAI 2025
Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models
ICLR 2025
Privacy Preserving Solution of DCOPs by Local Search
IJCAI 2025
Privacy-Preserving V2X Collaborative Perception Integrating Unknown Collaborators
AAAI 2025
PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration
ACL 2025
Privacy Ripple Effects from Adding or Removing Personal Information in Language Model Training
ACL 2025
PrivacyScalpel: Enhancing LLM Privacy via Interpretable Feature Intervention with Sparse Autoencoders
EMNLP 2025
Privacy-Shielded Image Compression: Defending Against Exploitation from Vision-Language Pretrained Models
ICML 2025
Privacy, Utility and Fairness: Navigating Trade-offs in Differentially Private Machine Learning
AAAI 2025
PrivateEye: In-Sensor Privacy Preservation Through Optical Feature Separation
WACV 2025
Private Memorization Editing: Turning Memorization into a Defense to Strengthen Data Privacy in Large Language Models
ACL 2025
Private Synthetic Text Generation with Diffusion Models
NAACL 2025
PrivDNFIS: Privacy-preserving and Efficient Deep Neuro-Fuzzy Inference System
AAAI 2025
PRM: Photometric Stereo based Large Reconstruction Model
ICCV 2025
Proactive Hearing Assistants that Isolate Egocentric Conversations
EMNLP 2025
Proactive Privacy Amnesia for Large Language Models: Safeguarding PII with Negligible Impact on Model Utility
ICLR 2025
ProAPO: Progressively Automatic Prompt Optimization for Visual Classification
CVPR 2025
Probabilistic Group Mask Guided Discrete Optimization for Incremental Learning
ICML 2025