| ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods | Jun 23, 2024 | Inference AttackLanguage Modeling | —Unverified | 0 |
| Data Plagiarism Index: Characterizing the Privacy Risk of Data-Copying in Tabular Generative Models | Jun 18, 2024 | FairnessInference Attack | —Unverified | 0 |
| Do Parameters Reveal More than Loss for Membership Inference? | Jun 17, 2024 | Inference AttackMembership Inference Attack | CodeCode Available | 0 |
| RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models | Jun 16, 2024 | Adversarial AttackBenchmarking | CodeCode Available | 2 |
| Semantic Membership Inference Attack against Large Language Models | Jun 14, 2024 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Machine Unlearning for Uplink Interference Cancellation | Jun 10, 2024 | Inference AttackMachine Unlearning | —Unverified | 0 |
| Is My Data in Your Retrieval Database? Membership Inference Attacks Against Retrieval Augmented Generation | May 30, 2024 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Towards Black-Box Membership Inference Attack for Diffusion Models | May 25, 2024 | Image-VariationInference Attack | —Unverified | 0 |
| The Mosaic Memory of Large Language Models | May 24, 2024 | Inference AttackMembership Inference Attack | CodeCode Available | 0 |
| Data Contamination Calibration for Black-box LLMs | May 20, 2024 | Inference AttackMembership Inference Attack | CodeCode Available | 1 |
| Many-Shot Regurgitation (MSR) Prompting | May 13, 2024 | ArticlesInference Attack | —Unverified | 0 |
| GLiRA: Black-Box Membership Inference Attack via Knowledge Distillation | May 13, 2024 | image-classificationImage Classification | CodeCode Available | 0 |
| Federated Graph Condensation with Information Bottleneck Principles | May 7, 2024 | Graph LearningInference Attack | —Unverified | 0 |
| Towards Reliable Empirical Machine Unlearning Evaluation: A Game-Theoretic View | Apr 17, 2024 | Inference AttackMachine Unlearning | —Unverified | 0 |
| A Federated Parameter Aggregation Method for Node Classification Tasks with Different Graph Network Structures | Mar 24, 2024 | Federated LearningGraph Neural Network | —Unverified | 0 |
| τ: Gradient-based and Task-Agnostic machine Unlearning | Mar 21, 2024 | Inference AttackMachine Unlearning | —Unverified | 0 |
| Low-Cost Privacy-Preserving Decentralized Learning | Mar 18, 2024 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Shake to Leak: Fine-tuning Diffusion Models Can Amplify the Generative Privacy Risk | Mar 14, 2024 | Inference AttackMembership Inference Attack | CodeCode Available | 1 |
| On the Impact of Uncertainty and Calibration on Likelihood-Ratio Membership Inference Attacks | Feb 16, 2024 | Conformal PredictionInference Attack | —Unverified | 0 |
| Why Does Differential Privacy with Large Epsilon Defend Against Practical Membership Inference Attacks? | Feb 14, 2024 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Do Membership Inference Attacks Work on Large Language Models? | Feb 12, 2024 | Membership Inference Attack | CodeCode Available | 2 |
| FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning | Feb 9, 2024 | AllFederated Learning | CodeCode Available | 1 |
| Impact of Dataset Properties on Membership Inference Vulnerability of Deep Transfer Learning | Feb 7, 2024 | Image ClassificationInference Attack | —Unverified | 0 |
| De-identification is not always enough | Jan 31, 2024 | De-identificationInference Attack | —Unverified | 0 |
| Inference Attacks Against Face Recognition Model without Classification Layers | Jan 24, 2024 | Face RecognitionGenerative Adversarial Network | —Unverified | 0 |
| Differentially Private and Adversarially Robust Machine Learning: An Empirical Evaluation | Jan 18, 2024 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Safety and Performance, Why Not Both? Bi-Objective Optimized Model Compression against Heterogeneous Attacks Toward AI Software Deployment | Jan 2, 2024 | Inference AttackMembership Inference Attack | CodeCode Available | 0 |
| Task Contamination: Language Models May Not Be Few-Shot Anymore | Dec 26, 2023 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Low-Cost High-Power Membership Inference Attacks | Dec 6, 2023 | Inference AttackMembership Inference Attack | CodeCode Available | 0 |
| DUCK: Distance-based Unlearning via Centroid Kinematics | Dec 4, 2023 | Inference AttackMachine Unlearning | CodeCode Available | 0 |
| Privacy and Accuracy Implications of Model Complexity and Integration in Heterogeneous Federated Learning | Nov 29, 2023 | Federated LearningInference Attack | CodeCode Available | 0 |
| MIA-BAD: An Approach for Enhancing Membership Inference Attack and its Mitigation with Federated Learning | Nov 28, 2023 | Federated LearningInference Attack | CodeCode Available | 0 |
| Are Normalizing Flows the Key to Unlocking the Exponential Mechanism? | Nov 15, 2023 | Bayesian InferenceInference Attack | CodeCode Available | 0 |
| Practical Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration | Nov 10, 2023 | Inference AttackMembership Inference Attack | CodeCode Available | 2 |
| Preserving Privacy in GANs Against Membership Inference Attack | Nov 6, 2023 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Generated Distributions Are All You Need for Membership Inference Attacks Against Generative Models | Oct 30, 2023 | AllInference Attack | CodeCode Available | 0 |
| Black-Box Training Data Identification in GANs via Detector Networks | Oct 18, 2023 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| A Comprehensive Study of Privacy Risks in Curriculum Learning | Oct 16, 2023 | AttributeInference Attack | —Unverified | 0 |
| No Privacy Left Outside: On the (In-)Security of TEE-Shielded DNN Partition for On-Device ML | Oct 11, 2023 | GPUInference Attack | CodeCode Available | 1 |
| SLMIA-SR: Speaker-Level Membership Inference Attacks against Speaker Recognition Systems | Sep 14, 2023 | Feature EngineeringInference Attack | CodeCode Available | 0 |
| A Probabilistic Fluctuation based Membership Inference Attack for Diffusion Models | Aug 23, 2023 | Inference AttackMembership Inference Attack | CodeCode Available | 0 |
| Epsilon*: Privacy Metric for Machine Learning Models | Jul 21, 2023 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Membership Inference Attacks on DNNs using Adversarial Perturbations | Jul 11, 2023 | Inference AttackMembership Inference Attack | CodeCode Available | 0 |
| Set-Membership Inference Attacks using Data Watermarking | Jun 22, 2023 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Towards More Realistic Membership Inference Attacks on Large Diffusion Models | Jun 22, 2023 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Gaussian Membership Inference Privacy | Jun 12, 2023 | Inference AttackMembership Inference Attack | CodeCode Available | 1 |
| Membership inference attack with relative decision boundary distance | Jun 7, 2023 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Does Black-box Attribute Inference Attacks on Graph Neural Networks Constitute Privacy Risk? | Jun 1, 2023 | AttributeInference Attack | —Unverified | 0 |
| An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization | May 26, 2023 | Audio GenerationInference Attack | CodeCode Available | 1 |
| Flocks of Stochastic Parrots: Differentially Private Prompt Learning for Large Language Models | May 24, 2023 | Inference AttackMembership Inference Attack | —Unverified | 0 |
