| 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 |
