Cover Image

Learning Robust Representations for Malicious Content Detection via Contrastive Sampling and Uncertainty Estimation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hossain, Elias, Biswas, Umesh, Gudla, Charan, Parsa, Sai Phani
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Attribution-Driven Explainable Intrusion Detection with Encoder-Based Large Language Models
by: Biswas, Umesh, et al.
Published: (2026)

Harnessing PU Learning for Enhanced Cloud-based DDoS Detection: A Comparative Analysis
by: Dilworth, Robert, et al.
Published: (2024)

Applications of Positive Unlabeled (PU) and Negative Unlabeled (NU) Learning in Cybersecurity
by: Dilworth, Robert, et al.
Published: (2024)

REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability
by: Wickstrøm, Kristoffer K., et al.
Published: (2024)

USE: Uncertainty Structure Estimation for Robust Semi-Supervised Learning
by: Chen, Tsao-Lun, et al.
Published: (2026)

Group-Adaptive Adversarial Learning for Robust Fake News Detection Against Malicious Comments
by: Tong, Zhao, et al.
Published: (2025)

Robust Uncertainty Estimation under Distribution Shift via Difference Reconstruction
by: Xu, Xinran, et al.
Published: (2026)

Robust Smart Contract Vulnerability Detection via Contrastive Learning-Enhanced Granular-ball Training
by: Wang, Zeli, et al.
Published: (2026)

Adaptive-lambda Subtracted Importance Sampled Scores in Machine Unlearning for DDPMs and VAEs
by: Dini, MohammadParsa, et al.
Published: (2025)

Learning Displacement-Robust Representations for Landslide Early Warning under Rainfall Forecast Uncertainty
by: Ozeki, Ren, et al.
Published: (2026)

Reconsidering LLM Uncertainty Estimation Methods in the Wild
by: Bakman, Yavuz, et al.
Published: (2025)

Contrastive Learning Via Equivariant Representation
by: Song, Sifan, et al.
Published: (2024)

Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection
by: Kim, HyunGi, et al.
Published: (2025)

Multimodal Physiological Signals Representation Learning via Multiscale Contrasting for Depression Recognition
by: Shao, Kai, et al.
Published: (2024)

From Overfitting to Robustness: Quantity, Quality, and Variety Oriented Negative Sample Selection in Graph Contrastive Learning
by: Ali, Adnan, et al.
Published: (2024)

Leveraging Superfluous Information in Contrastive Representation Learning
by: Yu, Xuechu
Published: (2024)

Abduction-Deduction Entanglement: Domain Generalization via Representation Transplants
by: Jalaldoust, Kasra, et al.
Published: (2026)

CQD-SHAP: Explainable Complex Query Answering via Shapley Values
by: Abbasi, Parsa, et al.
Published: (2025)

GRE^2-MDCL: Graph Representation Embedding Enhanced via Multidimensional Contrastive Learning
by: Fan, Kaizhe, et al.
Published: (2024)

Robust Representation Consistency Model via Contrastive Denoising
by: Lei, Jiachen, et al.
Published: (2025)

Enhance Exploration in Safe Reinforcement Learning with Contrastive Representation Learning
by: Doan, Duc Kien, et al.
Published: (2025)

Learning Stable Predictors from Weak Supervision under Distribution Shift
by: Shoeibi, Mehrdad, et al.
Published: (2026)

Manifold-Aware Diffusion-Augmented Contrastive Learning for Noise-Robust Biosignal Representation
by: Zewail, Rami
Published: (2025)

DConAD: A Differencing-based Contrastive Representation Learning Framework for Time Series Anomaly Detection
by: Zhang, Wenxin, et al.
Published: (2025)

Pseudo-label Induced Subspace Representation Learning for Robust Out-of-Distribution Detection
by: Azad, Tarhib Al, et al.
Published: (2025)

PEARL: Unbiased Percentile Estimation via Contrastive Learning for Industrial-Scale Livestream Recommendation
by: Gella, Blake, et al.
Published: (2026)

Learning Representations in Video Game Agents with Supervised Contrastive Imitation Learning
by: Celemin, Carlos, et al.
Published: (2025)

AI Learning Algorithms: Deep Learning, Hybrid Models, and Large-Scale Model Integration
by: Golilarz, Noorbakhsh Amiri, et al.
Published: (2024)

Time Series Representation Learning with Supervised Contrastive Temporal Transformer
by: Liu, Yuansan, et al.
Published: (2024)

Hierarchical Local-Global Feature Learning for Few-shot Malicious Traffic Detection
by: Peng, Songtao, et al.
Published: (2025)

DeNoise: Learning Robust Graph Representations for Unsupervised Graph-Level Anomaly Detection
by: Chen, Qingfeng, et al.
Published: (2025)

How Uncertainty Estimation Scales with Sampling in Reasoning Models
by: Del, Maksym, et al.
Published: (2026)

Robust Multimodal Representation Learning in Healthcare
by: Zhu, Xiaoguang, et al.
Published: (2026)

Contrastive Representations for Temporal Reasoning
by: Ziarko, Alicja, et al.
Published: (2025)

LLM-Guided Dynamic-UMAP for Personalized Federated Graph Learning
by: Puppala, Sai, et al.
Published: (2025)

The Impact of Machine Learning Uncertainty on the Robustness of Counterfactual Explanations
by: Christodoulou, Leonidas, et al.
Published: (2026)

Sample Complexity Reduction via Policy Difference Estimation in Tabular Reinforcement Learning
by: Narang, Adhyyan, et al.
Published: (2024)

EEG-Based Consumer Behaviour Prediction: An Exploration from Classical Machine Learning to Graph Neural Networks
by: Afshar, Mohammad Parsa, et al.
Published: (2025)

Momentum Contrastive Learning with Enhanced Negative Sampling and Hard Negative Filtering
by: Hoang, Duy, et al.
Published: (2025)

Detecting Malicious AI Agents Through Simulated Interactions
by: Pi, Yulu, et al.
Published: (2025)