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cs.LG updates on arXiv.org

Synthetic Tabular Generators Fail to Preserve Behavioral Fraud Patterns: A Benchmark on Temporal, Velocity, and Multi-Account Signals Generalization Guarantees on Data-Driven Tuning of Gradient Descent with Langevin Updates Automated co-design of high-performance thermodynamic cycles via graph-based hierarchical reinforcement learning Does Dimensionality Reduction via Random Projections Preserve Landscape Features? Analog Optical Inference on Million-Record Mortgage Data ASTER: Latent Pseudo-Anomaly Generation for Unsupervised Time-Series Anomaly Detection Context Sensitivity Improves Human-Machine Visual Alignment Artificial intelligence application in lymphoma diagnosis with Vision Transformer using weakly supervised training Design and Behavior of Sparse Mixture-of-Experts Layers in CNN-based Semantic Segmentation Automatic Charge State Tuning of 300 mm FDSOI Quantum Dots Using Neural Network Segmentation of Charge Stability Diagram MyoVision: A Mobile Research Tool and NEATBoost-Attention Ensemble Framework for Real Time Chicken Breast Myopathy Detection The Spectrascapes Dataset: Street-view imagery beyond the visible captured using a mobile platform Deep Spatially-Regularized and Superpixel-Based Diffusion Learning for Unsupervised Hyperspectral Image Clustering DroneScan-YOLO: Redundancy-Aware Lightweight Detection for Tiny Objects in UAV Imagery Rethinking Uncertainty in Segmentation: From Estimation to Decision A High-Resolution Landscape Dataset for Concept-Based XAI With Application to Species Distribution Models KV Packet: Recomputation-Free Context-Independent KV Caching for LLMs Pareto-Optimal Offline Reinforcement Learning via Smooth Tchebysheff Scalarization PatchPoison: Poisoning Multi-View Datasets to Degrade 3D Reconstruction Depth-Resolved Coral Reef Thermal Fields from Satellite SST and Sparse In-Situ Loggers Using Physics-Informed Neural Networks Spatial Atlas: Compute-Grounded Reasoning for Spatial-Aware Research Agent Benchmarks Spectral Entropy Collapse as a Phase Transition in Delayed Generalisation: An Interventional and Predictive Framework for Grokkin LangFlow: Continuous Diffusion Rivals Discrete in Language Modeling Evaluating Cooperation in LLM Social Groups through Elected Leadership Towards Autonomous Mechanistic Reasoning in Virtual Cells Symmetry Reveals Layerwise Dynamics: How Transformers Perform In-Context Classification A Triadic Suffix Tokenization Scheme for Numerical Reasoning Not All Forgetting Is Equal: Architecture-Dependent Retention Dynamics in Fine-Tuned Image Classifiers Revisiting Compositionality in Dual-Encoder Vision-Language Models: The Role of Inference From Attribution to Action: A Human-Centered Application of Activation Steering THEIA: Learning Complete Kleene Three-Valued Logic in a Pure-Neural Modular Architecture Cost-optimal Sequential Testing via Doubly Robust Q-learning Lightweight Low-Light Image Enhancement via Distribution-Normalizing Preprocessing and Depthwise U-Net A Faster Path to Continual Learning Where Hindsight Credit Can Reside: A Signed-Capacity View of Token Updates in RLVR Optimal Stability of KL Divergence under Gaussian Perturbations Memory-Guided Trust-Region Bayesian Optimization (MG-TuRBO) for High Dimensions EngageTriBoost: Predictive Modeling of User Engagement in Digital Mental Health Intervention Using Explainable Machine Learning Reservoir observer enhanced with residual calibration and attention mechanism Creator Incentives in Recommender Systems: A Cooperative Game-Theoretic Approach for Stable and Fair Collaboration in Multi-Agent Bandits Efficient RL Training for LLMs with Experience Replay Wireless Communication Enhanced Value Decomposition for Multi-Agent Reinforcement Learning A Little Rank Goes a Long Way: Random Scaffolds with LoRA Adapters Are All You Need Adversarial Sensor Errors for Safe and Robust Wind Turbine Fleet Control IKKA: Inversion Classification via Critical Anomalies for Robust Visual Servoing Adaptive Simulation Experiment for LLM Policy Optimization EvoLen: Evolution-Guided Tokenization for DNA Language Model Smartwatch-Based Sitting Time Estimation in Real-World Office Settings Structural Evaluation Metrics for SVG Generation via Leave-One-Out Analysis Loom: A Scalable Analytical Neural Computer Architecture Hierarchical Kernel Transformer: Multi-Scale Attention with an Information-Theoretic Approximation Analysis Spectral Geometry of LoRA Adapters Encodes Training Objective and Predicts Harmful Compliance Finite-Sample Analysis of Nonlinear Independent Component Analysis:Sample Complexity and Identifiability Bounds How does Chain of Thought decompose complex tasks? 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A Spectral Analysis of Weight Updates A Queueing-Theoretic Framework for Dynamic Attack Surfaces: Data-Integrated Risk Analysis and Adaptive Defense The Amazing Agent Race: Strong Tool Users, Weak Navigators MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction Reproduction Beyond Benchmarks: ConstBERT and ColBERT-v2 Across Backends and Query Distributions COMPOSITE-Stem SafeAdapt: Provably Safe Policy Updates in Deep Reinforcement Learning Rays as Pixels: Learning A Joint Distribution of Videos and Camera Trajectories PhysInOne: Visual Physics Learning and Reasoning in One Suite FIRE-CIR: Fine-grained Reasoning for Composed Fashion Image Retrieval Detecting Diffusion-generated Images via Dynamic Assembly Forests PDE-regularized Dynamics-informed Diffusion with Uncertainty-aware Filtering for Long-Horizon Dynamics Leave My Images Alone: Preventing Multi-Modal Large Language Models from Analyzing Images via Visual Prompt Injection Regime-Conditional Retrieval: Theory and a Transferable Router for Two-Hop QA Identification and Anonymization of Named Entities in Unstructured Information Sources for Use in Social Engineering Detection Hypergraph Neural Networks Accelerate MUS Enumeration ASTRA: Adaptive Semantic Tree Reasoning Architecture for Complex Table Question Answering Neighbourhood Transformer: Switchable Attention for Monophily-Aware Graph Learning WOMBET: World Model-Based Experience Transfer for Robust and Sample-efficient Reinforcement Learning Low-Data Supervised Adaptation Outperforms Prompting for Cloud Segmentation Under Domain Shift Revisiting the Capacity Gap in Chain-of-Thought Distillation from a Practical Perspective A Mathematical Framework for Temporal Modeling and Counterfactual Policy Simulation of Student Dropout
Fully Adaptive Composition for Gaussian Differential Privacy
Adam Smith, Abhradeep Thakurta · 2022-11-01 · via cs.LG updates on arXiv.org

We show that Gaussian Differential Privacy, a variant of differential privacy tailored to the analysis of Gaussian noise addition, composes gracefully even in the presence of a fully adaptive analyst. Such an analyst selects mechanisms (to be run on a sensitive data set) and their privacy budgets adaptively, that is, based on the answers from other mechanisms run previously on the same data set. In the language of Rogers, Roth, Ullman and Vadhan, this gives a filter for GDP with the same parameters as for nonadaptive composition.

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