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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
ConFREE: Conflict-free Client Update Aggregation for Personalized Federated Learning
AAAI 2025
On Probabilistic Truncation in Privacy-preserving Machine Learning
AAAI 2025
Learning Together Securely: Prototype-Based Federated Multi-Modal Hashing for Safe and Efficient Multi-Modal Retrieval
AAAI 2025
Fusing Pruned and Backdoored Models: Optimal Transport-based Data-free Backdoor Mitigation
AAAI 2025
IBAS:Imperceptible Backdoor Attacks in Split Learning with Limited Information
AAAI 2025
Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy
AAAI 2025
Fairness Issues and Mitigations in (Differentially Private) Socio-Demographic Data Processes
AAAI 2025
Scalable and Trustworthy Learning in Heterogeneous Networks
AAAI 2025
Privacy, Utility and Fairness: Navigating Trade-offs in Differentially Private Machine Learning
AAAI 2025
CLIPErase: Efficient Unlearning of Visual-Textual Associations in CLIP
ACL 2025
CLEAR: Character Unlearning in Textual and Visual Modalities
ACL 2025
Multi-Modal Recommendation Unlearning for Legal, Licensing, and Modality Constraints
AAAI 2025
Privacy Preserving Data Selection for Bias Mitigation in Speech Models
ACL 2025
Not Every Token Needs Forgetting: Selective Unlearning Balancing Forgetting and Utility in Large Language Models
EMNLP 2025
Experience Report: Implementing Machine Translation in a Regulated Industry
EMNLP 2025
SynthTextEval: Synthetic Text Data Generation and Evaluation for High-Stakes Domains
EMNLP 2025
Gradient Inversion Attacks on Parameter-Efficient Fine-Tuning
CVPR 2025
SleeperMark: Towards Robust Watermark against Fine-Tuning Text-to-image Diffusion Models
CVPR 2025
Structuring Radiology Reports: Challenging LLMs with Lightweight Models
EMNLP 2025
PD3F: A Pluggable and Dynamic DoS-Defense Framework against resource consumption attacks targeting Large Language Models
EMNLP 2025
EcoSafeRAG: Efficient Security through Context Analysis in Retrieval-Augmented Generation
EMNLP 2025
Watermarking with Low-Entropy POS-Guided Token Partitioning and Z-Score-Driven Dynamic Bias for Large Language Models
EMNLP 2025
Semantic versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification
ICCV 2025
PIIvot: A Lightweight NLP Anonymization Framework for Question-Anchored Tutoring Dialogues
EMNLP 2025
MI-CAPTCHA: Enhance the Security of CAPTCHA Using Mooney Images
AAAI 2025
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