:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Seip, Dominik, Hein, Matthias
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2604.08005
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Visual Memory Injection Attacks for Multi-Turn Conversations
by: Schlarmann, Christian, et al.
Published: (2026)

SafeRedirect: Defeating Internal Safety Collapse via Task-Completion Redirection in Frontier LLMs
by: Pan, Chao, et al.
Published: (2026)

LLM Unlearning via Neural Activation Redirection
by: Shen, William F., et al.
Published: (2025)

Inference-Time Machine Unlearning via Gated Activation Redirection
by: Turani, Vinícius Conte, et al.
Published: (2026)

Mahalanobis++: Improving OOD Detection via Feature Normalization
by: Mueller, Maximilian, et al.
Published: (2025)

LoGex: Improved tail detection of extremely rare histopathology classes via guided diffusion
by: Mueller, Maximilian, et al.
Published: (2024)

Bias of Stochastic Gradient Descent or the Architecture: Disentangling the Effects of Overparameterization of Neural Networks
by: Peleg, Amit, et al.
Published: (2024)

Targeted Manipulation: Slope-Based Attacks on Financial Time-Series Data
by: Luszczynski, Dominik
Published: (2025)

Multi-Agent Computer Use
by: Koh, Jing Yu, et al.
Published: (2026)

ReTrack: Data Unlearning in Diffusion Models through Redirecting the Denoising Trajectory
by: Shi, Qitan, et al.
Published: (2025)

Grounding Computer Use Agents on Human Demonstrations
by: Feizi, Aarash, et al.
Published: (2025)

Redirection for Erasing Memory (REM): Towards a universal unlearning method for corrupted data
by: Schoepf, Stefan, et al.
Published: (2025)

Efficient Agent Training for Computer Use
by: He, Yanheng, et al.
Published: (2025)

Spectral Guardrails for Agents in the Wild: Detecting Tool Use Hallucinations via Attention Topology
by: Noël, Valentin
Published: (2026)

How to train your ViT for OOD Detection
by: Mueller, Maximilian, et al.
Published: (2024)

VerificAgent: Domain-Specific Memory Verification for Scalable Oversight of Aligned Computer-Use Agents
by: Nguyen, Thong Q., et al.
Published: (2025)

MACTAS: Self-Attention-Based Inter-Agent Communication in Multi-Agent Reinforcement Learning with Action-Value Function Decomposition
by: Wojtala, Maciej, et al.
Published: (2025)

Scaling Agents for Computer Use
by: Gonzalez-Pumariega, Gonzalo, et al.
Published: (2025)

FuseLIP: Multimodal Embeddings via Early Fusion of Discrete Tokens
by: Schlarmann, Christian, et al.
Published: (2025)

RePOPE: Impact of Annotation Errors on the POPE Benchmark
by: Neuhaus, Yannic, et al.
Published: (2025)

OSWorld-Human: Benchmarking the Efficiency of Computer-Use Agents
by: Abhyankar, Reyna, et al.
Published: (2025)

Proportional Aggregation of Preferences for Sequential Decision Making
by: Chandak, Nikhil, et al.
Published: (2023)

Parametrized Multi-Agent Routing via Deep Attention Models
by: Basiri, Salar, et al.
Published: (2025)

Flow-Attentional Graph Neural Networks
by: Plettenberg, Pascal, et al.
Published: (2025)

Memory Injection Attacks on LLM Agents via Query-Only Interaction
by: Dong, Shen, et al.
Published: (2025)

ROGUE: Misaligned Agent Behavior Arising from Ordinary Computer Use
by: Tien, Jeremy, et al.
Published: (2026)

OS-Harm: A Benchmark for Measuring Safety of Computer Use Agents
by: Kuntz, Thomas, et al.
Published: (2025)

Programming with Pixels: Can Computer-Use Agents do Software Engineering?
by: Aggarwal, Pranjal, et al.
Published: (2025)

Dual-Agent Co-Training for Health Coaching via Implicit Adversarial Preference Optimization
by: Long, Da, et al.
Published: (2026)

LoRA-Ensemble: Efficient Uncertainty Modelling for Self-Attention Networks
by: Mühlematter, Dominik J., et al.
Published: (2024)

Preference Poisoning Attacks on Reward Model Learning
by: Wu, Junlin, et al.
Published: (2024)

Attack Smarter: Attention-Driven Fine-Grained Webpage Fingerprinting Attacks
by: Yuan, Yali, et al.
Published: (2025)

Unlearning That Lasts: Utility-Preserving, Robust, and Almost Irreversible Forgetting in LLMs
by: Singh, Naman Deep, et al.
Published: (2025)

Automated Membership Inference Attacks: Discovering MIA Signal Computations using LLM Agents
by: Tran, Toan, et al.
Published: (2026)

CUA-Gym: Scaling Verifiable Training Environments and Tasks for Computer-Use Agents
by: Wang, Bowen, et al.
Published: (2026)

EPO: Hierarchical LLM Agents with Environment Preference Optimization
by: Zhao, Qi, et al.
Published: (2024)

Computationally lightweight classifiers with frequentist bounds on predictions
by: Murali, Shreeram, et al.
Published: (2026)

VideoAgentTrek: Computer Use Pretraining from Unlabeled Videos
by: Lu, Dunjie, et al.
Published: (2025)

WebSTAR: Scalable Data Synthesis for Computer Use Agents with Step-Level Filtering
by: He, Yifei, et al.
Published: (2025)

Advancing Compositional Awareness in CLIP with Efficient Fine-Tuning
by: Peleg, Amit, et al.
Published: (2025)