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Privacy
490 directly classified papers
Papers per year
2011: 2
2012: 1
2016: 4
2017: 2
2018: 6
2019: 16
2020: 22
2021: 31
2022: 54
2023: 57
2024: 121
2025: 161
2026: 13
Papers
Web Intellectual Property at Risk: Preventing Unauthorized Real-Time Retrieval by Large Language Models
EMNLP 2025
SynthTextEval: Synthetic Text Data Generation and Evaluation for High-Stakes Domains
EMNLP 2025
Certified Mitigation of Worst-Case LLM Copyright Infringement
EMNLP 2025
FedHAN: A Cache-Based Semi-Asynchronous Federated Learning Framework Defending Against Poisoning Attacks in Heterogeneous Clients
IJCAI 2025
Investigating How Pre-training Data Leakage Affects Models’ Reproduction and Detection Capabilities
EMNLP 2025
Private Memorization Editing: Turning Memorization into a Defense to Strengthen Data Privacy in Large Language Models
ACL 2025
Estimating Privacy Leakage of Augmented Contextual Knowledge in Language Models
ACL 2025
MEraser: An Effective Fingerprint Erasure Approach for Large Language Models
ACL 2025
MMUnlearner: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language Models
ACL 2025
Protecting Users From Themselves: Safeguarding Contextual Privacy in Interactions with Conversational Agents
ACL 2025
Quantifying Memorization in Continual Pre-training with Japanese General or Industry-Specific Corpora
ACL 2025
1-2-3 Check: Enhancing Contextual Privacy in LLM via Multi-Agent Reasoning
ACL 2025
CAMPHOR: Collaborative Agents for Multi-input Planning and High-Order Reasoning On Device
ACL 2025
NeuroReset : LLM Unlearning via Dual Phase Mixed Methodology
ACL 2025
Anti-Tamper Protection for Unauthorized Individual Image Generation
ICCV 2025
Staining and Locking Computer Vision Models Without Retraining
ICCV 2025
I Know You Did Not Write That! A Sampling Based Watermarking Method for Identifying Machine Generated Text
COLING 2025
Geminio: Language-Guided Gradient Inversion Attacks in Federated Learning
ICCV 2025
Balancing Forget Quality and Model Utility: A Reverse KL-Divergence Knowledge Distillation Approach for Better Unlearning in LLMs
NAACL 2025
From Teacher to Student: Tracking Memorization Through Model Distillation
ACL 2025
PIG: Privacy Jailbreak Attack on LLMs via Gradient-based Iterative In-Context Optimization
ACL 2025
SEPS: A Separability Measure for Robust Unlearning in LLMs
EMNLP 2025
Keep Security! Benchmarking Security Policy Preservation in Large Language Model Contexts Against Indirect Attacks in Question Answering
EMNLP 2025
A Middle Path for On-Premises LLM Deployment: Preserving Privacy Without Sacrificing Model Confidentiality
EMNLP 2025
Masks and Mimicry: Strategic Obfuscation and Impersonation Attacks on Authorship Verification
NAACL 2025
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