Cover Image

Adversarially Robust Detection of Harmful Online Content: A Computational Design Science Approach

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chai, Yidong, Liu, Yi, Ebrahimi, Mohammadreza, Li, Weifeng, Padmanabhan, Balaji
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

From Machine Learning to Machine Unlearning: Complying with GDPR's Right to be Forgotten while Maintaining Business Value of Predictive Models
by: Yang, Yuncong, et al.
Published: (2024)

Adversarially-Aware Architecture Design for Robust Medical AI Systems
by: Gerhart, Alyssa, et al.
Published: (2025)

Optimal Transport Regularized Divergences: Application to Adversarial Robustness
by: Birrell, Jeremiah, et al.
Published: (2023)

Benchmarking the Robustness of Agentic Systems to Adversarially-Induced Harms
by: Nöther, Jonathan, et al.
Published: (2025)

The Surprising Harmfulness of Benign Overfitting for Adversarial Robustness
by: Hao, Yifan, et al.
Published: (2024)

Information-Consistent Language Model Recommendations through Group Relative Policy Optimization
by: Prabhune, Sonal, et al.
Published: (2025)

ChineseHarm-Bench: A Chinese Harmful Content Detection Benchmark
by: Liu, Kangwei, et al.
Published: (2025)

CEAR: Certified Ensemble Adversarial Robustness in DNNs
by: Sadig, Daniel, et al.
Published: (2026)

Harmful Visual Content Manipulation Matters in Misinformation Detection Under Multimedia Scenarios
by: Wang, Bing, et al.
Published: (2026)

Latent Adversarial Training Improves Robustness to Persistent Harmful Behaviors in LLMs
by: Sheshadri, Abhay, et al.
Published: (2024)

Evading Deep Learning-Based Malware Detectors via Obfuscation: A Deep Reinforcement Learning Approach
by: Etter, Brian, et al.
Published: (2024)

Towards Trustworthy Web Attack Detection: An Uncertainty-Aware Ensemble Deep Kernel Learning Model
by: Zhou, Yonghang, et al.
Published: (2024)

High-Pass Graph Convolutional Network for Enhanced Anomaly Detection: A Novel Approach
by: Li, Shelei, et al.
Published: (2024)

NERO-Net: A Neuroevolutionary Approach for the Design of Adversarially Robust CNNs
by: Valentim, Inês, et al.
Published: (2026)

A Novel Plug-and-Play Approach for Adversarially Robust Generalization
by: Maurya, Deepak, et al.
Published: (2022)

SocialDF: Benchmark Dataset and Detection Model for Mitigating Harmful Deepfake Content on Social Media Platforms
by: Batra, Arnesh, et al.
Published: (2025)

Detecting Fake News on Social Media: A Novel Reliability Aware Machine-Crowd Hybrid Intelligence-Based Method
by: Chai, Yidong, et al.
Published: (2024)

Collaborative Management for Chronic Diseases and Depression: A Double Heterogeneity-based Multi-Task Learning Method
by: Chai, Yidong, et al.
Published: (2025)

Trading Inference-Time Compute for Adversarial Robustness
by: Zaremba, Wojciech, et al.
Published: (2025)

Online Learning to Rank under Corruption: A Robust Cascading Bandits Approach
by: Ghaffari, Fatemeh, et al.
Published: (2025)

Enhancing Adversarial Robustness in Network Intrusion Detection: A Layer-wise Adaptive Regularization Approach
by: Nasir, Hira, et al.
Published: (2026)

FrameShield: Adversarially Robust Video Anomaly Detection
by: Nafez, Mojtaba, et al.
Published: (2025)

Killing it with Zero-Shot: Adversarially Robust Novelty Detection
by: Mirzaei, Hossein, et al.
Published: (2025)

DariMis: Harm-Aware Modeling for Dari Misinformation Detection on YouTube
by: Baktash, Jawid Ahmad, et al.
Published: (2026)

Online MDP with Transition Prototypes: A Robust Adaptive Approach
by: Sun, Shuo, et al.
Published: (2024)

A Bayesian Hybrid Parameter-Efficient Fine-Tuning Method for Large Language Models
by: Chai, Yidong, et al.
Published: (2025)

Sequential Harmful Shift Detection Without Labels
by: Amoukou, Salim I., et al.
Published: (2024)

Advancements In Heart Disease Prediction: A Machine Learning Approach For Early Detection And Risk Assessment
by: Ingole, Balaji Shesharao, et al.
Published: (2024)

GRAID: Synthetic Data Generation with Geometric Constraints and Multi-Agentic Reflection for Harmful Content Detection
by: Rad, Melissa Kazemi, et al.
Published: (2025)

Online Bidding under RoS Constraints without Knowing the Value
by: Vijayan, Sushant, et al.
Published: (2025)

A Whole-Process Certifiably Robust Aggregation Method Against Backdoor Attacks in Federated Learning
by: Zhou, Anqi, et al.
Published: (2024)

DARD: Dice Adversarial Robustness Distillation against Adversarial Attacks
by: Zou, Jing, et al.
Published: (2025)

Detecting fake accounts through Generative Adversarial Network in online social media
by: Bordbar, Jinus, et al.
Published: (2022)

Residual Learning and Context Encoding for Adaptive Offline-to-Online Reinforcement Learning
by: Nakhaei, Mohammadreza, et al.
Published: (2024)

Adaptive Group Robust Ensemble Knowledge Distillation
by: Kenfack, Patrik, et al.
Published: (2024)

Pareto Adversarial Robustness: Balancing Spatial Robustness and Sensitivity-based Robustness
by: Sun, Ke, et al.
Published: (2021)

Adversarial Online Collaborative Filtering
by: Pasteris, Stephen, et al.
Published: (2023)

Short-Form Videos and Mental Health: A Knowledge-Guided Neural Topic Model
by: Xie, Jiaheng, et al.
Published: (2024)

PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts
by: Zhu, Kaijie, et al.
Published: (2023)

On the Tension Between Optimality and Adversarial Robustness in Policy Optimization
by: Li, Haoran, et al.
Published: (2025)