:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Bowen, Lu, Tang, Xinyu, Low, Yin Yin, Leong, Shu-Min
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2605.08280
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

BLAST: A Stealthy Backdoor Leverage Attack against Cooperative Multi-Agent Deep Reinforcement Learning based Systems
by: Fang, Jing, et al.
Published: (2025)

Privacy-Utility Trade-off in Data Publication: A Bilevel Optimization Framework with Curvature-Guided Perturbation
by: Yin, Yi, et al.
Published: (2025)

Causal Policy Learning in Reinforcement Learning: Backdoor-Adjusted Soft Actor-Critic
by: Vo, Thanh Vinh, et al.
Published: (2025)

Learning Heterogeneous Performance-Fairness Trade-offs in Federated Learning
by: Ye, Rongguang, et al.
Published: (2025)

Controllable and Stealthy Shilling Attacks via Dispersive Latent Diffusion
by: Qiao, Shutong, et al.
Published: (2025)

Anon: Extrapolating Adaptivity Beyond SGD and Adam
by: Zhang, Yiheng, et al.
Published: (2026)

Beyond Affinity: A Benchmark of 1D, 2D, and 3D Methods Reveals Critical Trade-offs in Structure-Based Drug Design
by: Zheng, Kangyu, et al.
Published: (2026)

SUA: Stealthy Multimodal Large Language Model Unlearning Attack
by: Zhang, Xianren, et al.
Published: (2025)

Beyond Benchmarks: On The False Promise of AI Regulation
by: Stanovsky, Gabriel, et al.
Published: (2025)

Exploring Dynamic Properties of Backdoor Training Through Information Bottleneck
by: Liu, Xinyu, et al.
Published: (2025)

JANUS: A Dual-Constraint Generative Framework for Stealthy Node Injection Attacks
by: Zhang, Jiahao, et al.
Published: (2025)

Backdoor Graph Condensation
by: Wu, Jiahao, et al.
Published: (2024)

Accuracy-Privacy Trade-off in the Mitigation of Membership Inference Attack in Federated Learning
by: Ahamed, Sayyed Farid, et al.
Published: (2024)

Trading-off Accuracy and Communication Cost in Federated Learning
by: Villani, Mattia Jacopo, et al.
Published: (2025)

Certifying Language Model Robustness with Fuzzed Randomized Smoothing: An Efficient Defense Against Backdoor Attacks
by: He, Bowei, et al.
Published: (2025)

Unveiling the Backdoor Mechanism Hidden Behind Catastrophic Overfitting in Fast Adversarial Training
by: Zhao, Mengnan, et al.
Published: (2026)

Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models
by: Xu, Yuancheng, et al.
Published: (2024)

GRLO: Towards Generalizable Reinforcement Learning in Open-Ended Environments from Zero
by: Yin, Shangjian, et al.
Published: (2026)

LoBAM: LoRA-Based Backdoor Attack on Model Merging
by: Yin, Ming, et al.
Published: (2024)

S$^{2}$FT: Efficient, Scalable and Generalizable LLM Fine-tuning by Structured Sparsity
by: Yang, Xinyu, et al.
Published: (2024)

Fast and Lightweight Backdoor Detection via Head Random Probing
by: Yu, Yinbo, et al.
Published: (2026)

Beyond Classification: Evaluating Diffusion Denoised Smoothing for Security-Utility Trade off
by: Belousov, Yury, et al.
Published: (2025)

Zero-shot Generalizable Graph Anomaly Detection with Mixture of Riemannian Experts
by: Zhao, Xinyu, et al.
Published: (2026)

Auditing and Generating Synthetic Data with Controllable Trust Trade-offs
by: Belgodere, Brian, et al.
Published: (2023)

Protecting Copyright of Medical Pre-trained Language Models: Training-Free Backdoor Model Watermarking
by: Kong, Cong, et al.
Published: (2024)

Dynamic Model Selection for Trajectory Prediction via Pairwise Ranking and Meta-Features
by: Bowen, Lu
Published: (2025)

Disentangling Causal Substructures for Interpretable and Generalizable Drug Synergy Prediction
by: Luo, Yi, et al.
Published: (2025)

From Bias to Behavior: Learning Bull-Bear Market Dynamics with Contrastive Modeling
by: Luo, Xiaotong, et al.
Published: (2025)

RLCAD: Reinforcement Learning Training Gym for Revolution Involved CAD Command Sequence Generation
by: Yin, Xiaolong, et al.
Published: (2025)

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures
by: Yin, Ming, et al.
Published: (2025)

Cost Trade-offs in Matrix Inversion Updates for Streaming Outlier Detection
by: Grivet, Florian, et al.
Published: (2026)

Navigating Trade-offs: Policy Summarization for Multi-Objective Reinforcement Learning
by: Osika, Zuzanna, et al.
Published: (2024)

Spiking Neural Networks in Vertical Federated Learning: Performance Trade-offs
by: Abbasihafshejani, Maryam, et al.
Published: (2024)

Does Scaling Law Apply in Time Series Forecasting?
by: Li, Zeyan, et al.
Published: (2025)

Personalized Federated Learning with Adaptive Feature Aggregation and Knowledge Transfer
by: Yin, Keting, et al.
Published: (2024)

LLM-VA: Resolving the Jailbreak-Overrefusal Trade-off via Vector Alignment
by: Zhang, Haonan, et al.
Published: (2026)

Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-off
by: Waseda, Futa, et al.
Published: (2024)

Differential Privacy for Anomaly Detection: Analyzing the Trade-off Between Privacy and Explainability
by: Ezzeddine, Fatima, et al.
Published: (2024)

Towards Understanding Link Predictor Generalizability Under Distribution Shifts
by: Revolinsky, Jay, et al.
Published: (2024)

COLD-Attack: Jailbreaking LLMs with Stealthiness and Controllability
by: Guo, Xingang, et al.
Published: (2024)