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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
AI Knows Where You Are: Exposure, Bias, and Inference in Multimodal Geolocation with KoreaGEO
EMNLP 2025
Identifying Unlearned Data in LLMs via Membership Inference Attacks
EMNLP 2025
SUA: Stealthy Multimodal Large Language Model Unlearning Attack
EMNLP 2025
FaithUn: Toward Faithful Forgetting in Language Models by Investigating the Interconnectedness of Knowledge
EMNLP 2025
VVRec: Reconstruction Attacks on DL-based Volumetric Video Upstreaming via Latent Diffusion Model with Gamma Distribution
AAAI 2025
Differentially Private Bootstrap: New Privacy Analysis and Inference Strategies
JMLR 2025
CBP-Tuning: Efficient Local Customization for Black-box Large Language Models
EMNLP 2025
Membership and Memorization in LLM Knowledge Distillation
EMNLP 2025
VIGFace: Virtual Identity Generation for Privacy-Free Face Recognition Dataset
ICCV 2025
StyleKeeper: Prevent Content Leakage using Negative Visual Query Guidance
ICCV 2025
Model Unlearning via Sparse Autoencoder Subspace Guided Projections
EMNLP 2025
TrojanStego: Your Language Model Can Secretly Be A Steganographic Privacy Leaking Agent
EMNLP 2025
Differentially Private Multivariate Medians
JMLR 2025
Bit-Flip Induced Latency Attacks in Object Detection
WACV 2025
SimMark: A Robust Sentence-Level Similarity-Based Watermarking Algorithm for Large Language Models
EMNLP 2025
Not What the Doctor Ordered: Surveying LLM-based De-identification and Quantifying Clinical Information Loss
EMNLP 2025
On the Vulnerability of Text Sanitization
NAACL 2025
Personalized Language Models via Privacy-Preserving Evolutionary Model Merging
EMNLP 2025
Train It and Forget It: Merge Lists are Unnecessary for BPE Inference in Language Models
EMNLP 2025
Retracing the Past: LLMs Emit Training Data When They Get Lost
EMNLP 2025
HIPP: Protecting Image Privacy via High-Quality Reversible Protected Version
IJCAI 2025
Evading Data Provenance in Deep Neural Networks
ICCV 2025
Context-Aware Membership Inference Attacks against Pre-trained Large Language Models
EMNLP 2025
FedPIA – Permuting and Integrating Adapters Leveraging Wasserstein Barycenters for Finetuning Foundation Models in Multi-Modal Federated Learning
AAAI 2025
Meetalk: Retrieval-Augmented and Adaptively Personalized Meeting Summarization with Knowledge Learning from User Corrections
ACL 2025
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