Privacy
3,022 papers
Papers per year
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3
7
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18
23
40
67
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302
367
511
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Papers
AEON: Adaptive Embedding Optimized Noise for Robust Watermarking in Diffusion Models
WACV 2026
AFL-PRF: Adaptive Federated Learning for Low-Quality Data: Enhancing Performance, Robustness, and Fairness
WACV 2026
A Guardrail Framework for Sensitive Financial Information Protection: A Taxonomy-Driven Approach
AAAI 2026
Anchor Watermark: Robust Attribution for Diffusion-based Text-to-Audio Model
AAAI 2026
An Improved Privacy and Utility Analysis of Differentially Private SGD with Bounded Domain and Smooth Losses
AAAI 2026
An Information Theoretic Evaluation Metric for Strong Unlearning
AAAI 2026
An Invariant Latent Space Perspective on Language Model Inversion
AAAI 2026
An LLM-based Quantitative Framework for Evaluating High-Stealthy Backdoor Risks in OSS Supply Chains
AAAI 2026
Anti-adversarial Learning: Desensitizing Prompts for Large Language Model
AAAI 2026
ARGH-Mark: Anchor-Synchronized Watermarking with Hamming Correction for Robust and Quality-Preserving LLM Attribution
AAAI 2026
AssetOpsBench-Live: Privacy-Aware Online Evaluation of Multi-Agent Performance in Industrial Operations
AAAI 2026
AUVIC: Adversarial Unlearning of Visual Concepts for Multi-modal Large Language Models
AAAI 2026
BAFLE-DCT: Bypassing Adversarial Filters via Frequency-Selective Embedding in the DCT Domain
WACV 2026
BeDKD: Backdoor Defense Based on Directional Mapping Module and Adversarial Knowledge Distillation
AAAI 2026
Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach
AAAI 2026
Can Protective Watermarking Safeguard the Copyright of 3D Gaussian Splatting?
AAAI 2026
CAPID: Context-Aware PII Detection for Question-Answering Systems
EACL 2026
Class-feature Watermark: A Resilient Black-box Watermark Against Model Extraction Attacks
AAAI 2026
CL-Guard: Defending DNNs Against Backdoors via Fine-Grained Neuron Analysis and Collaborative Dual-Network Learning
AAAI 2026
CLIP-FTI: Fine-Grained Face Template Inversion via CLIP-Driven Attribute Conditioning
AAAI 2026
CLUE: Bringing Machine Unlearning to Mobile Devices
WACV 2026
CodeGuard: Improving LLM Guardrails in CS Education
EACL 2026
CoLA: A Choice Leakage Attack Framework to Expose Privacy Risks in Subset Training
ACL 2026
Collaborative LLM Numerical Reasoning with Local Data Protection
AAAI 2026
Conceptualisation and Implementation of Human-centric Privacy Preserving Framework for Explainable AI
AAAI 2026