Image de couverture de livre

Trojan Horse Hunt in Time Series Forecasting for Space Operations

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Kotowski, Krzysztof, Shendy, Ramez, Nalepa, Jakub, Biecek, Przemysław, Wilczyński, Piotr, Kaczmarek, Agata, Płudowski, Dawid, Janicki, Artur, Ntagiou, Evridiki
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Cryptography and Security
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Fake or Real: The Impostor Hunt in Texts for Space Operations
par: Kaczmarek, Agata, et autres
Publié: (2025)

Trojan horse hunt in deep forecasting models: Insights from the European Space Agency competition
par: Kotowski, Krzysztof, et autres
Publié: (2026)

MASCOTS: Model-Agnostic Symbolic COunterfactual explanations for Time Series
par: Płudowski, Dawid, et autres
Publié: (2025)

Your CLIP has 164 dimensions of noise: Exploring the embeddings covariance eigenspectrum of contrastively pretrained vision-language transformers
par: Grzywaczewski, Jakub, et autres
Publié: (2026)

SwordBench: Evaluating Orthogonality of Steering Image Representations
par: Zaigrajew, Vladimir, et autres
Publié: (2026)

Resistance Against Manipulative AI: key factors and possible actions
par: Wilczyński, Piotr, et autres
Publié: (2024)

The Dark Patterns of Personalized Persuasion in Large Language Models: Exposing Persuasive Linguistic Features for Big Five Personality Traits in LLMs Responses
par: Mieleszczenko-Kowszewicz, Wiktoria, et autres
Publié: (2024)

The OPS-SAT benchmark for detecting anomalies in satellite telemetry
par: Ruszczak, Bogdan, et autres
Publié: (2024)

Light-cone feature selection in methane hyperspectral images
par: Miroszewski, Artur, et autres
Publié: (2025)

To center or not to center? Hyperspectral data vs. quantum covariance matrices
par: Miroszewski, Artur, et autres
Publié: (2025)

Red Teaming Models for Hyperspectral Image Analysis Using Explainable AI
par: Zaigrajew, Vladimir, et autres
Publié: (2024)

Local Intrinsic Dimension Unveils Hallucinations in Diffusion Models
par: Sobieski, Bartlomiej, et autres
Publié: (2026)

Adversarial Confusion Attack: Disrupting Multimodal Large Language Models
par: Hoscilowicz, Jakub, et autres
Publié: (2025)

Can We Use Probing to Better Understand Fine-tuning and Knowledge Distillation of the BERT NLU?
par: Hościłowicz, Jakub, et autres
Publié: (2023)

The Trojan Horse
par: Philips, Deborah, et autres
Publié: (2022)

REdiSplats: Ray Tracing for Editable Gaussian Splatting
par: Byrski, Krzysztof, et autres
Publié: (2025)

A New Adaptive Deep Learning based Reduced Order Model for Hybrid-Type Parabolic PDEs: Rigorous Error Analysis and Applications
par: Kotowski, Dawid, et autres
Publié: (2026)

Survey on AI‐Enabled Computer Vision Technologies and Applications for Space Robotic Missions
par: Maciej Quoos, et autres
Publié: (2026)

Evaluation of Reinforcement Learning for Autonomous Penetration Testing using A3C, Q-learning and DQN
par: Becker, Norman, et autres
Publié: (2024)

An Experimental Study on the Rashomon Effect of Balancing Methods in Imbalanced Classification
par: Cavus, Mustafa, et autres
Publié: (2024)

Adversarial attacks and defenses in explainable artificial intelligence: A survey
par: Baniecki, Hubert, et autres
Publié: (2023)

Investigating the Impact of Balancing, Filtering, and Complexity on Predictive Multiplicity: A Data-Centric Perspective
par: Cavus, Mustafa, et autres
Publié: (2024)

Position: Do Not Explain Vision Models Without Context
par: Tomaszewska, Paulina, et autres
Publié: (2024)

Birds look like cars: Adversarial analysis of intrinsically interpretable deep learning
par: Baniecki, Hubert, et autres
Publié: (2025)

Global Counterfactual Directions
par: Sobieski, Bartlomiej, et autres
Publié: (2024)

Model Science: getting serious about verification, explanation and control of AI systems
par: Biecek, Przemyslaw, et autres
Publié: (2025)

Position: Explain to Question not to Justify
par: Biecek, Przemyslaw, et autres
Publié: (2024)

HuSc3D: Human Sculpture dataset for 3D object reconstruction
par: Smolak-Dyżewska, Weronika, et autres
Publié: (2025)

European Space Agency Benchmark for Anomaly Detection in Satellite Telemetry
par: Kotowski, Krzysztof, et autres
Publié: (2024)

Rethinking of Encoder-based Warm-start Methods in Hyperparameter Optimization
par: Płudowski, Dawid, et autres
Publié: (2024)

Real-Time Energy Measurement for Non-Intrusive Well-Being Monitoring of Elderly People -- a Case Study
par: Brzozowski, Mateusz, et autres
Publié: (2024)

Red-Teaming Segment Anything Model
par: Jankowski, Krzysztof, et autres
Publié: (2024)

X-ray transferable polyrepresentation learning
par: Hryniewska-Guzik, Weronika, et autres
Publié: (2025)

The Trojan Horse Attacks on Continuous Variable Quantum Teleportation
par: Yixuan Wang, et autres
Publié: (2026)

Chemoenzymatic Synthesis of Alkenes from Alcohols or Amines by One‐Pot Laccase‐Mediated Oxidations and Wittig Reaction in Water
par: Ignacy Janicki, et autres
Publié: (2025)

A comparative analysis of deep learning models for lung segmentation on X-ray images
par: Hryniewska-Guzik, Weronika, et autres
Publié: (2024)

Beyond Segmentation: Structurally Informed Facade Parsing from Imperfect Images
par: Janicki, Maciej, et autres
Publié: (2026)

Rethinking Visual Counterfactual Explanations Through Region Constraint
par: Sobieski, Bartlomiej, et autres
Publié: (2024)

Aggregated Attributions for Explanatory Analysis of 3D Segmentation Models
par: Chrabaszcz, Maciej, et autres
Publié: (2024)

Optimizing Retrieval-Augmented Generation of Medical Content for Spaced Repetition Learning
par: Kaczmarek, Jeremi I., et autres
Publié: (2025)