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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
iSeal: Encrypted Fingerprinting for Reliable LLM Ownership Verification
AAAI 2026
Exploring Cross-Lingual Voice Conversion Methods for Anonymizing Low-Resource Text-to-Speech
EACL 2026
Imprint of the Forgotten: Stealthy Membership Inference in Unlearned Graph Neural Networks
AAAI 2026
When Privacy Meets Recovery: The Overlooked Half of Surrogate-Driven Privacy Preservation for MLLM Editing
AAAI 2026
FedAU2: Attribute Unlearning for User-Level Federated Recommender Systems with Adaptive and Robust Adversarial Training
AAAI 2026
SD-CSFL: A Synthetic Data-Driven Conformity Scoring Framework for Robust Federated Learning
WACV 2026
Defeating Cerberus: Privacy-Leakage Mitigation in Vision Language Models
EACL 2026
SecMoE: Communication-Efficient Secure MoE Inference via Select-Then-Compute
AAAI 2026
A Content-Preserving Secure Linguistic Steganography
AAAI 2026
CRIME: Community Rewiring for Influence and Masking Entities in Social Networks (Student Abstract)
AAAI 2026
Breaking Cross-View Associations: Byzantine Model Poisoning Attack against Vertical Federated Learning
AAAI 2026
Whispering Agents: A Event-Driven Covert Communication Protocol for the Internet of Agents
AAAI 2026
LLA: Enhancing Security and Privacy for Generative Models with Logic-Locked Accelerators
AAAI 2026
IncogniText: Privacy-enhancing Conditional Text Anonymization via LLM-based Private Attribute Randomization
IJCNLP 2025
TAROT: Task-Oriented Authorship Obfuscation Using Policy Optimization Methods
NAACL 2025
Model-based Large Language Model Customization as Service
EMNLP 2025
Towards Robust Defense against Customization via Protective Perturbation Resistant to Diffusion-based Purification
ICCV 2025
TUNI: A Textual Unimodal Detector for Identity Inference in CLIP Models
NAACL 2025
Prompt-based Unifying Inference Attack on Graph Neural Networks
AAAI 2025
A Fully Probabilistic Perspective on Large Language Model Unlearning: Evaluation and Optimization
EMNLP 2025
ReVision: A Dataset and Baseline VLM for Privacy-Preserving Task-Oriented Visual Instruction Rewriting
IJCNLP 2025
Recalling The Forgotten Class Memberships: Unlearned Models Can Be Noisy Labelers to Leak Privacy
IJCAI 2025
PIG: Privacy Jailbreak Attack on LLMs via Gradient-based Iterative In-Context Optimization
ACL 2025
With Privacy, Size Matters: On the Importance of Dataset Size in Differentially Private Text Rewriting
IJCNLP 2025
From Teacher to Student: Tracking Memorization Through Model Distillation
ACL 2025
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