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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
The Mainstays of Trustworthy Machine Learning
AAAI 2025
WET: Overcoming Paraphrasing Vulnerabilities in Embeddings-as-a-Service with Linear Transformation Watermarks
ACL 2025
RecordTwin: Towards Creating Safe Synthetic Clinical Corpora
ACL 2025
Provably Secure Image Robust Steganography via Cross-modal Error Correction
AAAI 2025
Guardrails and Security for LLMs: Safe, Secure and Controllable Steering of LLM Applications
ACL 2025
PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration
ACL 2025
MALTO at SemEval-2025 Task 4: Dual Teachers for Unlearning Sensitive Content in LLMs
ACL 2025
UFID: A Unified Framework for Black-box Input-level Backdoor Detection on Diffusion Models
AAAI 2025
AI-Driven Personalized Fall Prevention for Older Adults
AAAI 2025
CopyrightShield: Enhancing Diffusion Model Security Against Copyright Infringement Attacks
ICCV 2025
A Privacy-Preserving Framework for Generative Model-driven Synthetic Datasets
AAAI 2025
Watermarking Large Language Models: An Unbiased and Low-risk Method
ACL 2025
Efficient Unlearning for Spatio-temporal Graph (Student Abstract)
AAAI 2025
Compass: Encrypted Semantic Search with High Accuracy
OSDI 2025
Dyn-D^2P: Dynamic Differentially Private Decentralized Learning with Provable Utility Guarantee
IJCAI 2025
Speech Watermarking with Discrete Intermediate Representations
AAAI 2025
FedDLAD: A Federated Learning Dual-Layer Anomaly Detection Framework for Enhancing Resilience Against Backdoor Attacks
IJCAI 2025
Privacy Preserving Solution of DCOPs by Local Search
IJCAI 2025
Automated Detection of Pre-training Text in Black-box LLMs
IJCAI 2025
SAP: Privacy-Preserving Fine-Tuning on Language Models with Split-and-Privatize Framework
IJCAI 2025
Where Does This Data Come From? Enhanced Source Inference Attacks in Federated Learning
IJCAI 2025
Fully Test-Time Adaptation for Feature Decrement in Tabular Data
IJCAI 2025
Understanding PII Leakage in Large Language Models: A Systematic Survey
IJCAI 2025
Two Sides of the Same Coin: Learning the Backdoor to Remove the Backdoor
AAAI 2025
User-side Model Consistency Monitoring for Open Source Large Language Models Inference Services
ACL 2025
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