conftrace_

privacy protection

162 papers

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Co-occurring keywords

large language model (13587) privacy preservation (380) differential privacy (1016) diffusion model (3751) adversarial perturbation (384) face recognition (469) federated learning (1333) adversarial attack (1621) generative model (2892) text anonymization (25)

Papers

LR-XFL: Logical Reasoning-Based Explainable Federated Learning AAAI 2024
Responsible Bandit Learning via Privacy-Protected Mean-Volatility Utility AAAI 2024
I Prefer Not to Say: Protecting User Consent in Models with Optional Personal Data AAAI 2024
Combating Security and Privacy Issues in the Era of Large Language Models NAACL 2024
DiffAM: Diffusion-based Adversarial Makeup Transfer for Facial Privacy Protection CVPR 2024
Facial Identity Anonymization via Intrinsic and Extrinsic Attention Distraction CVPR 2024
ToonerGAN: Reinforcing GANs for Obfuscating Automated Facial Indexing CVPR 2024
Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs NIPS 2024
PrivObfNet: A Weakly Supervised Semantic Segmentation Model for Data Protection WACV 2024
Anonymity at Risk? Assessing Re-Identification Capabilities of Large Language Models in Court Decisions NAACL 2024
Keep it Private: Unsupervised Privatization of Online Text NAACL 2024
Generate Synthetic Text Approximating the Private Distribution with Differential Privacy IJCAI 2024
Probing the Feasibility of Multilingual Speaker Anonymization INTERSPEECH 2024
Integer Is Enough: When Vertical Federated Learning Meets Rounding AAAI 2024
Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning NIPS 2024
Reducing Privacy Risks in Online Self-Disclosures with Language Models ACL 2024
Mitigating Privacy Seesaw in Large Language Models: Augmented Privacy Neuron Editing via Activation Patching ACL 2024
Large Language Models Can Be Contextual Privacy Protection Learners EMNLP 2024
DLoRA: Distributed Parameter-Efficient Fine-Tuning Solution for Large Language Model EMNLP 2024
Generative Unlearning for Any Identity CVPR 2024
Debiasing Synthetic Data Generated by Deep Generative Models NIPS 2024
Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise AAAI 2024
Cloaked Classifiers: Pseudonymization Strategies on Sensitive Classification Tasks ACL 2024
Protecting Privacy in Classifiers by Token Manipulation ACL 2024
OpticalDR: A Deep Optical Imaging Model for Privacy-Protective Depression Recognition CVPR 2024