DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming
Fuente:
arXiv
Saved in:
| Main Authors: | Malarkkan, Arun Vignesh, Bai, Haoyue, Kaushik, Anjali, Fu, Yanjie |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Rethinking Spatio-Temporal Anomaly Detection: A Vision for Causality-Driven Cybersecurity
by: Malarkkan, Arun Vignesh, et al.
Published: (2025)
by: Malarkkan, Arun Vignesh, et al.
Published: (2025)
Exploring LLM-based Verilog Code Generation with Data-Efficient Fine-Tuning and Testbench Automation
by: Chen, Mu-Chi, et al.
Published: (2026)
by: Chen, Mu-Chi, et al.
Published: (2026)
CLGNN: A Contrastive Learning-based GNN Model for Betweenness Centrality Prediction on Temporal Graphs
by: Zhang, Tianming, et al.
Published: (2025)
by: Zhang, Tianming, et al.
Published: (2025)
AI2T: Building Trustable AI Tutors by Interactively Teaching a Self-Aware Learning Agent
by: Weitekamp, Daniel, et al.
Published: (2024)
by: Weitekamp, Daniel, et al.
Published: (2024)
Time-to-Injury Forecasting in Elite Female Football: A DeepHit Survival Approach
by: Catterall, Victoria, et al.
Published: (2026)
by: Catterall, Victoria, et al.
Published: (2026)
Hidden Failure Modes of Gradient Modification under Adam in Continual Learning, and Adaptive Decoupled Moment Routing as a Repair
by: Hu, Yuelin, et al.
Published: (2026)
by: Hu, Yuelin, et al.
Published: (2026)
4OPS: Structural Difficulty Modeling in Integer Arithmetic Puzzles
by: Zeytuncu, Yunus E.
Published: (2026)
by: Zeytuncu, Yunus E.
Published: (2026)
Vision-Guided Iterative Refinement for Frontend Code Generation
by: Sansford, Hannah, et al.
Published: (2026)
by: Sansford, Hannah, et al.
Published: (2026)
Interactive LLM-assisted Curriculum Learning for Multi-Task Evolutionary Policy Search
by: Sakallioglu, Berfin, et al.
Published: (2026)
by: Sakallioglu, Berfin, et al.
Published: (2026)
MR-GNF: Multi-Resolution Graph Neural Forecasting on Ellipsoidal Meshes for Efficient Regional Weather Prediction
by: Shchur, Andrii, et al.
Published: (2026)
by: Shchur, Andrii, et al.
Published: (2026)
Deep Memory Search: A Metaheuristic Approach for Optimizing Heuristic Search
by: Hedar, Abdel-Rahman, et al.
Published: (2024)
by: Hedar, Abdel-Rahman, et al.
Published: (2024)
Intervention-Assisted Policy Gradient Methods for Online Stochastic Queuing Network Optimization: Technical Report
by: Wigmore, Jerrod, et al.
Published: (2024)
by: Wigmore, Jerrod, et al.
Published: (2024)
Privacy-Preserving Explainable AIoT Application via SHAP Entropy Regularization
by: Sharma, Dilli Prasad, et al.
Published: (2025)
by: Sharma, Dilli Prasad, et al.
Published: (2025)
Evolving Programmatic Skill Networks
by: Shi, Haochen, et al.
Published: (2026)
by: Shi, Haochen, et al.
Published: (2026)
RoboGrind: Intuitive and Interactive Surface Treatment with Industrial Robots
by: Alt, Benjamin, et al.
Published: (2024)
by: Alt, Benjamin, et al.
Published: (2024)
Loss-Complexity Landscape and Model Structure Functions
by: Kolpakov, Alexander
Published: (2025)
by: Kolpakov, Alexander
Published: (2025)
Deriving Coding-Specific Sub-Models from LLMs using Resource-Efficient Pruning
by: Puccioni, Laura, et al.
Published: (2025)
by: Puccioni, Laura, et al.
Published: (2025)
TRIM: Achieving Extreme Sparsity with Targeted Row-wise Iterative Metric-driven Pruning
by: Beck, Florentin, et al.
Published: (2025)
by: Beck, Florentin, et al.
Published: (2025)
The Architecture of Errors: From Universal Impossibility to Patch-Local LLM Reliability
by: Arbuzov, Mikhail L., et al.
Published: (2026)
by: Arbuzov, Mikhail L., et al.
Published: (2026)
Graph Neural Networks are Heuristics
by: Min, Yimeng, et al.
Published: (2026)
by: Min, Yimeng, et al.
Published: (2026)
Entropy-Based Measurement of Value Drift and Alignment Work in Large Language Models
by: Fadli, Samih
Published: (2025)
by: Fadli, Samih
Published: (2025)
Grammatically-Guided Sparse Attention for Efficient and Interpretable Transformers
by: Pratyush, Spandan
Published: (2026)
by: Pratyush, Spandan
Published: (2026)
SiliconMind-V1: Multi-Agent Distillation and Debug-Reasoning Workflows for Verilog Code Generation
by: Chen, Mu-Chi, et al.
Published: (2026)
by: Chen, Mu-Chi, et al.
Published: (2026)
StepScorer: Accelerating Reinforcement Learning with Step-wise Scoring and Psychological Regret Modeling
by: Xu, Zhe
Published: (2026)
by: Xu, Zhe
Published: (2026)
The Limits of Obliviate: Evaluating Unlearning in LLMs via Stimulus-Knowledge Entanglement-Behavior Framework
by: Shah, Aakriti, et al.
Published: (2025)
by: Shah, Aakriti, et al.
Published: (2025)
Enhanced and Efficient Reasoning in Large Learning Models
by: Valiant, Leslie G.
Published: (2026)
by: Valiant, Leslie G.
Published: (2026)
Survey Transfer Learning: Recycling Data with Silicon Responses
by: Amini, Ali
Published: (2025)
by: Amini, Ali
Published: (2025)
Aletheia: Quantifying Cognitive Conviction in Reasoning Models via Regularized Inverse Confusion Matrix
by: Fu, Fanzhe
Published: (2026)
by: Fu, Fanzhe
Published: (2026)
Ground-Compose-Reinforce: Grounding Language in Agentic Behaviours using Limited Data
by: Li, Andrew C., et al.
Published: (2025)
by: Li, Andrew C., et al.
Published: (2025)
What Do World Models Learn in RL? Probing Latent Representations in Learned Environment Simulators
by: Zhang, Xinyu
Published: (2026)
by: Zhang, Xinyu
Published: (2026)
Working Paper: Active Causal Structure Learning with Latent Variables: Towards Learning to Detour in Autonomous Robots
by: Riscos, Pablo de los, et al.
Published: (2024)
by: Riscos, Pablo de los, et al.
Published: (2024)
An Idiosyncrasy of Time-discretization in Reinforcement Learning
by: De Asis, Kris, et al.
Published: (2024)
by: De Asis, Kris, et al.
Published: (2024)
Generative and Contrastive Graph Representation Learning
by: Chen, Jiali, et al.
Published: (2025)
by: Chen, Jiali, et al.
Published: (2025)
On the Limits of Learned Importance Scoring for KV Cache Compression
by: Steele, Brady
Published: (2026)
by: Steele, Brady
Published: (2026)
Safe Reinforcement Learning with Preference-based Constraint Inference
by: Li, Chenglin, et al.
Published: (2026)
by: Li, Chenglin, et al.
Published: (2026)
Adaptable Hindsight Experience Replay for Search-Based Learning
by: Vazaios, Alexandros, et al.
Published: (2025)
by: Vazaios, Alexandros, et al.
Published: (2025)
Shattered Compositionality: Counterintuitive Learning Dynamics of Transformers for Arithmetic
by: Zhao, Xingyu, et al.
Published: (2026)
by: Zhao, Xingyu, et al.
Published: (2026)
Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks
by: Quaedvlieg, Lars C. P. M.
Published: (2025)
by: Quaedvlieg, Lars C. P. M.
Published: (2025)
Simulation-Driven Railway Delay Prediction: An Imitation Learning Approach
by: Elliker, Clément, et al.
Published: (2025)
by: Elliker, Clément, et al.
Published: (2025)
CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning
by: Sauter, Andreas W. M., et al.
Published: (2024)
by: Sauter, Andreas W. M., et al.
Published: (2024)
Similar Items
-
Rethinking Spatio-Temporal Anomaly Detection: A Vision for Causality-Driven Cybersecurity
by: Malarkkan, Arun Vignesh, et al.
Published: (2025) -
Exploring LLM-based Verilog Code Generation with Data-Efficient Fine-Tuning and Testbench Automation
by: Chen, Mu-Chi, et al.
Published: (2026) -
CLGNN: A Contrastive Learning-based GNN Model for Betweenness Centrality Prediction on Temporal Graphs
by: Zhang, Tianming, et al.
Published: (2025) -
AI2T: Building Trustable AI Tutors by Interactively Teaching a Self-Aware Learning Agent
by: Weitekamp, Daniel, et al.
Published: (2024) -
Time-to-Injury Forecasting in Elite Female Football: A DeepHit Survival Approach
by: Catterall, Victoria, et al.
Published: (2026)