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Privacy

2794 directly classified papers

Papers per year

Papers

STAMP: Selective Task-Aware Mechanism for Text Privacy EACL 2026

Leveraging Sparsity for Privacy in Collaborative Inference WACV 2026

Multilingual Amnesia: On the Transferability of Unlearning in Multilingual LLMs EACL 2026

ConVerse: Benchmarking Contextual Safety in Agent-to-Agent Conversations EACL 2026

Speaker Anonymization for Children's Oral Reading Assessment AAAI 2026

Conceptualisation and Implementation of Human-centric Privacy Preserving Framework for Explainable AI AAAI 2026

Optimisation Problems in Constrained Machine Learning AAAI 2026

Privacy-Preserving Argumentative Explanations (Student Abstract) AAAI 2026

zkQML: Verifiable and Privacy-Preserving Inference for Quantum Machine Learning (Student Abstract) AAAI 2026

What Are They Filtering Out? An Experimental Benchmark of Filtering Strategies for Harm Reduction in Pretraining Datasets AAAI 2026

ARGH-Mark: Anchor-Synchronized Watermarking with Hamming Correction for Robust and Quality-Preserving LLM Attribution AAAI 2026

Towards Benchmarking Privacy Vulnerabilities in Selective Forgetting with Large Language Models AAAI 2026

Fragile by Design: On the Limits of Adversarial Defenses in Personalized DreamBooth Generation AAAI 2026

BeDKD: Backdoor Defense Based on Directional Mapping Module and Adversarial Knowledge Distillation AAAI 2026

CL-Guard: Defending DNNs Against Backdoors via Fine-Grained Neuron Analysis and Collaborative Dual-Network Learning AAAI 2026

Class-feature Watermark: A Resilient Black-box Watermark Against Model Extraction Attacks AAAI 2026

Towards Provably Unlearnable Examples via Bayes Error Optimization AAAI 2026

Consensus Learning with Multi-Party Perturbation Triggers for Secure Model Access AAAI 2026

Reducing the Scope of Language Models AAAI 2026

Steering Representations, Safeguarding Privacy: A Cross-Modal Privacy Protection Method for Generative AI AAAI 2026

Collaborative LLM Numerical Reasoning with Local Data Protection AAAI 2026

STaR: Sensitive Trajectory Regulation for Unlearning in Large Reasoning Models AAAI 2026

Privacy Preserving In-Context-Learning Framework for Large Language Models AAAI 2026

MOBA: A Material-Oriented Backdoor Attack Against LiDAR-Based 3D Object Detection Systems AAAI 2026

Reference Recommendation Based Membership Inference Attack Against Hybrid-Based Recommender Systems AAAI 2026