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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
SUA: Stealthy Multimodal Large Language Model Unlearning Attack
EMNLP 2025
Gamma-Guard: Lightweight Residual Adapters for Robust Guardrails in Large Language Models
EMNLP 2025
FaithUn: Toward Faithful Forgetting in Language Models by Investigating the Interconnectedness of Knowledge
EMNLP 2025
Unraveling Interwoven Roles of Large Language Models in Authorship Privacy: Obfuscation, Mimicking, and Verification
EMNLP 2025
DyePack: Provably Flagging Test Set Contamination in LLMs Using Backdoors
EMNLP 2025
Web Intellectual Property at Risk: Preventing Unauthorized Real-Time Retrieval by Large Language Models
EMNLP 2025
CBP-Tuning: Efficient Local Customization for Black-box Large Language Models
EMNLP 2025
The Ranking Blind Spot: Decision Hijacking in LLM-based Text Ranking
EMNLP 2025
Investigating How Pre-training Data Leakage Affects Models’ Reproduction and Detection Capabilities
EMNLP 2025
Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data
EMNLP 2025
Leaky Thoughts: Large Reasoning Models Are Not Private Thinkers
EMNLP 2025
TrojanStego: Your Language Model Can Secretly Be A Steganographic Privacy Leaking Agent
EMNLP 2025
PIIvot: A Lightweight NLP Anonymization Framework for Question-Anchored Tutoring Dialogues
EMNLP 2025
CLMTracing: Black-box User-level Watermarking for Code Language Model Tracing
EMNLP 2025
Certified Mitigation of Worst-Case LLM Copyright Infringement
EMNLP 2025
SynthTextEval: Synthetic Text Data Generation and Evaluation for High-Stakes Domains
EMNLP 2025
Leveraging Semantic Triples for Private Document Generation with Local Differential Privacy Guarantees
EMNLP 2025
Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editing
CVPR 2025
AI Sees Your Location—But With A Bias Toward The Wealthy World
EMNLP 2025
Zero-Shot Class Unlearning in CLIP with Synthetic Samples
WACV 2025
How Private are Language Models in Abstractive Summarization?
EMNLP 2025
AI Knows Where You Are: Exposure, Bias, and Inference in Multimodal Geolocation with KoreaGEO
EMNLP 2025
Mjölnir: Breaking the Shield of Perturbation-Protected Gradients via Adaptive Diffusion
AAAI 2025
Towards Secure and Usable 3D Assets: A Novel Framework for Automatic Visible Watermarking
WACV 2025
Masks and Mimicry: Strategic Obfuscation and Impersonation Attacks on Authorship Verification
NAACL 2025
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