inference attack

BadThink: Triggered Overthinking Attacks on Chain-of-Thought Reasoning in Large Language Models AAAI 2026 Generic Adversarial Attack Framework Against Graph-based Vertical Federated Learning AAAI 2026 Interaction-Aware Parameter Privacy-Preserving Data Sharing in Coupled Systems via Particle Filter Reinforcement Learning L4DC 2025 Named Entity Inference Attacks on Clinical LLMs: Exploring Privacy Risks and the Impact of Mitigation Strategies NAACL 2025 ObfusLM: Privacy-preserving Language Model Service against Embedding Inversion Attacks ACL 2025 Prompt-based Unifying Inference Attack on Graph Neural Networks AAAI 2025 Attack-Aware Noise Calibration for Differential Privacy NeurIPS 2024 Auditing Privacy Mechanisms via Label Inference Attacks NeurIPS 2024 BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models ICLR 2024 Beyond Memorization: Violating Privacy via Inference with Large Language Models ICLR 2024 Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach NeurIPS 2024 Deep-TROJ: An Inference Stage Trojan Insertion Algorithm through Efficient Weight Replacement Attack CVPR 2024 On the Ability of Developers' Training Data Preservation of Learnware NeurIPS 2024 PPIDSG: A Privacy-Preserving Image Distribution Sharing Scheme with GAN in Federated Learning AAAI 2024 SecureSQL: Evaluating Data Leakage of Large Language Models as Natural Language Interfaces to Databases EMNLP 2024 FedID: Federated Interactive Distillation for Large-Scale Pretraining Language Models EMNLP 2023 Privacy Risks in Speech Emotion Recognition: A Systematic Study on Gender Inference Attack Interspeech 2023 Redactor: A Data-Centric and Individualized Defense against Inference Attacks AAAI 2023 Privacy Implications of Shuffling ICLR 2022 Adaptive Privacy Preserving Deep Learning Algorithms for Medical Data WACV 2021 DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for Deep Neural Networks CVPR 2021 Information Obfuscation of Graph Neural Networks ICML 2021 Minimax Filter: Learning to Preserve Privacy from Inference Attacks JMLR 2017