conftrace_

Application Areas

34,437 papers (4 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Domain Adaptation (9,897) Efficient Computing (8,226) Data Augmentation (3,648) Fairness (3,574) Knowledge Distillation (3,219) Privacy (3,022) Domain Generalization (1,972) Model Compression (1,736) Risk Management (1,119) Model Merging (592) Recommender Systems (343) Information Retrieval (249) Text Classification (144) Text Processing (2)

Papers per year

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1,828

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Papers (including subtopics)

Privacy-Preserving In-Context Learning for Large Language Models ICLR 2024 Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation ICLR 2024 Privacy-Preserving Optics for Enhancing Protection in Face De-Identification CVPR 2024 Privacy-Preserving UCB Decision Process Verification via zk-SNARKs IJCAI 2024 Privacy without Noisy Gradients: Slicing Mechanism for Generative Model Training NeurIPS 2024 PrivaT5: A Generative Language Model for Privacy Policies ACL 2024 Private Algorithms for Stochastic Saddle Points and Variational Inequalities: Beyond Euclidean Geometry NeurIPS 2024 Private and Personalized Frequency Estimation in a Federated Setting NeurIPS 2024 Private Attribute Inference from Images with Vision-Language Models NeurIPS 2024 Private Edge Density Estimation for Random Graphs: Optimal, Efficient and Robust NeurIPS 2024 Private Geometric Median NeurIPS 2024 Private Heterogeneous Federated Learning Without a Trusted Server Revisited: Error-Optimal and Communication-Efficient Algorithms for Convex Losses ICML 2024 Private Language Models via Truncated Laplacian Mechanism EMNLP 2024 Private Learning with Public Features AISTATS 2024 Private Online Learning via Lazy Algorithms NeurIPS 2024 Private PAC Learning May be Harder than Online Learning ALT 2024 Private Stochastic Convex Optimization with Heavy Tails: Near-Optimality from Simple Reductions NeurIPS 2024 PrivAuditor: Benchmarking Data Protection Vulnerabilities in LLM Adaptation Techniques NeurIPS 2024 PrivCirNet: Efficient Private Inference via Block Circulant Transformation NeurIPS 2024 Privileged Prior Information Distillation for Image Matting AAAI 2024 PrivLM-Bench: A Multi-level Privacy Evaluation Benchmark for Language Models ACL 2024 PrivObfNet: A Weakly Supervised Semantic Segmentation Model for Data Protection WACV 2024 PrivSGP-VR: Differentially Private Variance-Reduced Stochastic Gradient Push with Tight Utility Bounds IJCAI 2024 Probabilistic Adaptation of Black-Box Text-to-Video Models ICLR 2024 Probabilistically Robust Watermarking of Neural Networks IJCAI 2024