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Privacy
2794 directly classified papers
Papers per year
2006: 1
2007: 2
2008: 1
2011: 2
2012: 7
2013: 10
2014: 7
2015: 18
2016: 23
2017: 40
2018: 65
2019: 133
2020: 167
2021: 289
2022: 342
2023: 484
2024: 502
2025: 522
2026: 179
Papers
Exploring Query Efficient Data Generation Towards Data-Free Model Stealing in Hard Label Setting
AAAI 2025
Re-identification of De-identified Documents with Autoregressive Infilling
ACL 2025
Multimodal Pragmatic Jailbreak on Text-to-image Models
ACL 2025
Sandcastles in the Storm: Revisiting the (Im)possibility of Strong Watermarking
ACL 2025
Split Adaptation for Pre-trained Vision Transformers
CVPR 2025
LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty
CVPR 2025
RewardDS: Privacy-Preserving Fine-Tuning for Large Language Models via Reward Driven Data Synthesis
EMNLP 2025
Multi-Modal Recommendation Unlearning for Legal, Licensing, and Modality Constraints
AAAI 2025
Your Semantic-Independent Watermark is Fragile: A Semantic Perturbation Attack against EaaS Watermark
EMNLP 2025
FedPIA – Permuting and Integrating Adapters Leveraging Wasserstein Barycenters for Finetuning Foundation Models in Multi-Modal Federated Learning
AAAI 2025
DP-GTR: Differentially Private Prompt Protection via Group Text Rewriting
EMNLP 2025
Not Every Token Needs Forgetting: Selective Unlearning Balancing Forgetting and Utility in Large Language Models
EMNLP 2025
One VLM to Keep it Learning: Generation and Balancing for Data-Free Continual Visual Question Answering
WACV 2025
Counterfactual Evaluation for Blind Attack Detection in LLM-based Evaluation Systems
IJCNLP 2025
IncogniText: Privacy-enhancing Conditional Text Anonymization via LLM-based Private Attribute Randomization
IJCNLP 2025
With Privacy, Size Matters: On the Importance of Dataset Size in Differentially Private Text Rewriting
IJCNLP 2025
Gradient Inversion Attacks on Parameter-Efficient Fine-Tuning
CVPR 2025
Watermarking with Low-Entropy POS-Guided Token Partitioning and Z-Score-Driven Dynamic Bias for Large Language Models
EMNLP 2025
EntropyMark: Towards More Harmless Backdoor Watermark via Entropy-based Constraint for Open-source Dataset Copyright Protection
CVPR 2025
LUME: LLM Unlearning with Multitask Evaluations
EMNLP 2025
FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning
CVPR 2025
Resource-Efficient Anonymization of Textual Data via Knowledge Distillation from Large Language Models
COLING 2025
Indonesian Speech Content De-Identification in Low Resource Transcripts
COLING 2025
Where's the Liability in the Generative Era? Recovery-based Black-Box Detection of AI-Generated Content
CVPR 2025
Towards Operationalizing Right to Data Protection
NAACL 2025
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