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← Security & Privacy
Security & Privacy
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Privacy
626 directly classified papers
Papers per year
2006: 1
2007: 2
2012: 1
2013: 2
2014: 1
2015: 1
2016: 5
2017: 3
2018: 16
2019: 12
2020: 30
2021: 53
2022: 72
2023: 85
2024: 137
2025: 203
2026: 2
Papers
LongSafety: Evaluating Long-Context Safety of Large Language Models
ACL 2025
PrivateEye: In-Sensor Privacy Preservation Through Optical Feature Separation
WACV 2025
Model Rake: A Defense Against Stealing Attacks in Split Learning
IJCAI 2025
Merger-as-a-Stealer: Stealing Targeted PII from Aligned LLMs with Model Merging
EMNLP 2025
Keep Security! Benchmarking Security Policy Preservation in Large Language Model Contexts Against Indirect Attacks in Question Answering
EMNLP 2025
CTCC: A Robust and Stealthy Fingerprinting Framework for Large Language Models via Cross-Turn Contextual Correlation Backdoor
EMNLP 2025
EverTracer: Hunting Stolen Large Language Models via Stealthy and Robust Probabilistic Fingerprint
EMNLP 2025
Addressing Tokenization Inconsistency in Steganography and Watermarking Based on Large Language Models
EMNLP 2025
Visual Contextual Attack: Jailbreaking MLLMs with Image-Driven Context Injection
EMNLP 2025
AI Knows Where You Are: Exposure, Bias, and Inference in Multimodal Geolocation with KoreaGEO
EMNLP 2025
Identifying Pre-training Data in LLMs: A Neuron Activation-Based Detection Framework
EMNLP 2025
Membership and Memorization in LLM Knowledge Distillation
EMNLP 2025
Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation
EMNLP 2025
Evaluating Robustness of Large Audio Language Models to Audio Injection: An Empirical Study
EMNLP 2025
VLA-Mark: A cross modal watermark for large vision-language alignment models
EMNLP 2025
TrojanStego: Your Language Model Can Secretly Be A Steganographic Privacy Leaking Agent
EMNLP 2025
Not What the Doctor Ordered: Surveying LLM-based De-identification and Quantifying Clinical Information Loss
EMNLP 2025
Personalized Language Models via Privacy-Preserving Evolutionary Model Merging
EMNLP 2025
Retracing the Past: LLMs Emit Training Data When They Get Lost
EMNLP 2025
Adv-CPG: A Customized Portrait Generation Framework with Facial Adversarial Attacks
CVPR 2025
IDFace: Face Template Protection for Efficient and Secure Identification
ICCV 2025
Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models
NAACL 2025
Privacy Checklist: Privacy Violation Detection Grounding on Contextual Integrity Theory
NAACL 2025
Large Language Models are Easily Confused: A Quantitative Metric, Security Implications and Typological Analysis
NAACL 2025
A Middle Path for On-Premises LLM Deployment: Preserving Privacy Without Sacrificing Model Confidentiality
EMNLP 2025
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