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Machine Learning
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Privacy
2794 directly classified papers
Papers per year
2006: 1
2007: 2
2008: 1
2011: 2
2012: 7
2013: 10
2014: 7
2015: 18
2016: 23
2017: 40
2018: 65
2019: 133
2020: 167
2021: 289
2022: 342
2023: 484
2024: 502
2025: 522
2026: 179
Papers
Efficient, Secure, Differentially Private Deep Learning in the Two-Server Model
AAAI 2026
FILTER: A Framework for Defending Against Backdoor Attacks in Vertical Federated Learning
AAAI 2026
Private Frequency Estimation via Residue Number Systems
AAAI 2026
Machine Pareidolia: Protecting Facial Image with Emotional Editing
AAAI 2026
Cross-Modal Unlearning via Influential Neuron Path Editing in Multimodal Large Language Models
AAAI 2026
Mind the Third Eye! Benchmarking Privacy Awareness in MLLM-powered Smartphone Agents
AAAI 2026
Eguard: Defending LLM Embeddings Against Inversion Attacks via Text Mutual Information Optimization
AAAI 2026
GeoShield: Safeguarding Geolocation Privacy from Vision-Language Models via Adversarial Perturbations
AAAI 2026
MartDE: A Privacy-Preserving and Cost-Efficient Evaluation Framework for Data Marketplaces
AAAI 2026
GUIC: Certified Graph Unlearning with Individual Fairness Guarantees
AAAI 2026
Optimization and Robustness-Informed Membership Inference Attacks for LLMs
AAAI 2026
Ghost in the Transformer: Detecting Model Reuse with Invariant Spectral Signatures
AAAI 2026
PrivSV: Differentially Private Steering Vector for Large Language Models
AAAI 2026
MrM: Black-Box Membership Inference Attacks Against Multimodal RAG Systems
AAAI 2026
RegionMarker: A Region-Triggered Semantic Watermarking Framework for Embedding-as-a-Service Copyright Protection
AAAI 2026
From Chaos to Clarity: A Knowledge Graph-Driven Audit Dataset Generation Framework for LLM Unlearning
AAAI 2026
Large Language Model Unlearning for Source Code
AAAI 2026
Anti-adversarial Learning: Desensitizing Prompts for Large Language Model
AAAI 2026
Anchor Watermark: Robust Attribution for Diffusion-based Text-to-Audio Model
AAAI 2026
Scalable Privacy-Preserving Neural Network Training over Z2k via RMFE-Based Packing and Mixed-Circuit Computation
AAAI 2026
Equilibrium-Driven Vertical Federated Learning with Selective Privacy Protection
AAAI 2026
REMISVFU: Vertical Federated Unlearning via Representation Misdirection for Intermediate Output Feature
AAAI 2026
Forgetting Knowledge Localization and Isolation for Continual Forgetting of Pre-trained Vision Models
AAAI 2026
Yours or Mine? Overwriting Attacks Against Neural Audio Watermarking
AAAI 2026
Oblivionis: A Lightweight Learning and Unlearning Framework for Federated Large Language Models
AAAI 2026
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