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Privacy

3,022 papers

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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