Saved in:
| Main Authors: | Gusain, Vaibhav, Leith, Douglas |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.07772 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Improving Privacy Benefits of Redaction
by: Gusain, Vaibhav, et al.
Published: (2025)
by: Gusain, Vaibhav, et al.
Published: (2025)
Optimistic Learning for Communication Networks
by: Iosifidis, George, et al.
Published: (2025)
by: Iosifidis, George, et al.
Published: (2025)
Persona-Conditioned Adversarial Prompting: Multi-Identity Red-Teaming for Adversarial Discovery and Mitigation
by: Morasso, Cristian, et al.
Published: (2026)
by: Morasso, Cristian, et al.
Published: (2026)
Privacy Blur: Quantifying Privacy and Utility for Image Data Release
by: Mahloujifar, Saeed, et al.
Published: (2025)
by: Mahloujifar, Saeed, et al.
Published: (2025)
Data Redaction from Conditional Generative Models
by: Kong, Zhifeng, et al.
Published: (2023)
by: Kong, Zhifeng, et al.
Published: (2023)
RedactOR: An LLM-Powered Framework for Automatic Clinical Data De-Identification
by: Singh, Praphul, et al.
Published: (2025)
by: Singh, Praphul, et al.
Published: (2025)
Towards Understanding and Quantifying Uncertainty for Text-to-Image Generation
by: Franchi, Gianni, et al.
Published: (2024)
by: Franchi, Gianni, et al.
Published: (2024)
DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redaction
by: Naddeo, Kyle, et al.
Published: (2025)
by: Naddeo, Kyle, et al.
Published: (2025)
Quantifying Memorization and Privacy Risks in Genomic Language Models
by: Nemecek, Alexander, et al.
Published: (2026)
by: Nemecek, Alexander, et al.
Published: (2026)
Latent Geometry as a Structural Monitor: Eigenspace Alignment for Anomaly Detection in Anonymity Networks
by: Chhabra, Vaibhav
Published: (2026)
by: Chhabra, Vaibhav
Published: (2026)
Preventing Curriculum Collapse in Self-Evolving Reasoning Systems
by: Mishra, Vaibhav
Published: (2026)
by: Mishra, Vaibhav
Published: (2026)
GeoGNN: Quantifying and Mitigating Semantic Drift in Text-Attributed Graphs
by: Yang, Liangwei, et al.
Published: (2025)
by: Yang, Liangwei, et al.
Published: (2025)
Resource-Adaptive Federated Text Generation with Differential Privacy
by: Wang, Jiayi, et al.
Published: (2026)
by: Wang, Jiayi, et al.
Published: (2026)
Segmentation-free Connectionist Temporal Classification loss based OCR Model for Text Captcha Classification
by: Khatavkar, Vaibhav, et al.
Published: (2024)
by: Khatavkar, Vaibhav, et al.
Published: (2024)
Towards Quantifying the Hessian Structure of Neural Networks
by: Dong, Zhaorui, et al.
Published: (2025)
by: Dong, Zhaorui, et al.
Published: (2025)
Exploiting Adjacent Similarity in Multi-Armed Bandit Tasks via Transfer of Reward Samples
by: Rahul, NR, et al.
Published: (2024)
by: Rahul, NR, et al.
Published: (2024)
In Search of Goodness: Large Scale Benchmarking of Goodness Functions for the Forward-Forward Algorithm
by: Shah, Arya, et al.
Published: (2025)
by: Shah, Arya, et al.
Published: (2025)
Towards Quantifying the Preconditioning Effect of Adam
by: Das, Rudrajit, et al.
Published: (2024)
by: Das, Rudrajit, et al.
Published: (2024)
Federated Hypergraph Learning with Local Differential Privacy: Toward Privacy-Aware Hypergraph Structure Completion
by: Luo, Linfeng, et al.
Published: (2024)
by: Luo, Linfeng, et al.
Published: (2024)
Differential Privacy for Transformer Embeddings of Text with Nonparametric Variational Information Bottleneck
by: Zein, Dina El, et al.
Published: (2026)
by: Zein, Dina El, et al.
Published: (2026)
SENSE: Efficient EEG-to-Text via Privacy-Preserving Semantic Retrieval
by: Murhekar, Akshaj, et al.
Published: (2026)
by: Murhekar, Akshaj, et al.
Published: (2026)
Transfer in Sequential Multi-armed Bandits via Reward Samples
by: R, Rahul N, et al.
Published: (2024)
by: R, Rahul N, et al.
Published: (2024)
GatedLexiconNet: A Comprehensive End-to-End Handwritten Paragraph Text Recognition System
by: Kumari, Lalita, et al.
Published: (2024)
by: Kumari, Lalita, et al.
Published: (2024)
Towards Quantifying Commonsense Reasoning with Mechanistic Insights
by: Joshi, Abhinav, et al.
Published: (2025)
by: Joshi, Abhinav, et al.
Published: (2025)
QUOTA: Quantifying Objects with Text-to-Image Models for Any Domain
by: Sun, Wenfang, et al.
Published: (2024)
by: Sun, Wenfang, et al.
Published: (2024)
Guiding Exploration in Reinforcement Learning Through LLM-Augmented Observations
by: Jain, Vaibhav, et al.
Published: (2025)
by: Jain, Vaibhav, et al.
Published: (2025)
Bootstrapped Mixed Rewards for RL Post-Training: Injecting Canonical Action Order
by: Gupta, Prakhar, et al.
Published: (2025)
by: Gupta, Prakhar, et al.
Published: (2025)
Can Aha Moments Be Fake? Towards Quantifying Decorative and True Thinking in Chain-of-Thought
by: Zhao, Jiachen, et al.
Published: (2025)
by: Zhao, Jiachen, et al.
Published: (2025)
End-to-End Text-to-SQL with Dataset Selection: Leveraging LLMs for Adaptive Query Generation
by: Tripathi, Anurag, et al.
Published: (2025)
by: Tripathi, Anurag, et al.
Published: (2025)
Dual-Phase Continual Learning: Supervised Adaptation Meets Unsupervised Retention
by: Singh, Vaibhav, et al.
Published: (2024)
by: Singh, Vaibhav, et al.
Published: (2024)
When Data Falls Short: Grokking Below the Critical Threshold
by: Singh, Vaibhav, et al.
Published: (2025)
by: Singh, Vaibhav, et al.
Published: (2025)
IDIL: Imitation Learning of Intent-Driven Expert Behavior
by: Seo, Sangwon, et al.
Published: (2024)
by: Seo, Sangwon, et al.
Published: (2024)
STAMP: Selective Task-Aware Mechanism for Text Privacy
by: Tian, Fengwei, et al.
Published: (2026)
by: Tian, Fengwei, et al.
Published: (2026)
Towards Sustainable SecureML: Quantifying Carbon Footprint of Adversarial Machine Learning
by: Hasan, Syed Mhamudul, et al.
Published: (2024)
by: Hasan, Syed Mhamudul, et al.
Published: (2024)
Multimodal ML: Quantifying the Improvement of Calorie Estimation Through Image-Text Pairs
by: Narang, Arya
Published: (2025)
by: Narang, Arya
Published: (2025)
Fill the Gap: Quantifying and Reducing the Modality Gap in Image-Text Representation Learning
by: Role, François, et al.
Published: (2025)
by: Role, François, et al.
Published: (2025)
Evaluating Imputation Techniques for Short-Term Gaps in Heart Rate Data
by: Gupta, Vaibhav, et al.
Published: (2025)
by: Gupta, Vaibhav, et al.
Published: (2025)
Hierarchical Imitation Learning of Team Behavior from Heterogeneous Demonstrations
by: Seo, Sangwon, et al.
Published: (2025)
by: Seo, Sangwon, et al.
Published: (2025)
Preempting Text Sanitization Utility in Resource-Constrained Privacy-Preserving LLM Interactions
by: Carpentier, Robin, et al.
Published: (2024)
by: Carpentier, Robin, et al.
Published: (2024)
Towards Benchmarking Foundation Models for Tabular Data With Text
by: Mráz, Martin, et al.
Published: (2025)
by: Mráz, Martin, et al.
Published: (2025)
Similar Items
-
Improving Privacy Benefits of Redaction
by: Gusain, Vaibhav, et al.
Published: (2025) -
Optimistic Learning for Communication Networks
by: Iosifidis, George, et al.
Published: (2025) -
Persona-Conditioned Adversarial Prompting: Multi-Identity Red-Teaming for Adversarial Discovery and Mitigation
by: Morasso, Cristian, et al.
Published: (2026) -
Privacy Blur: Quantifying Privacy and Utility for Image Data Release
by: Mahloujifar, Saeed, et al.
Published: (2025) -
Data Redaction from Conditional Generative Models
by: Kong, Zhifeng, et al.
Published: (2023)