Image de couverture de livre

Outline of an Independent Systematic Blackbox Test for ML-based Systems

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Wiesbrock, Hans-Werner, Großmann, Jürgen
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Optimizing Rank-based Metrics with Blackbox Differentiation
par: Rolínek, Michal, et autres
Publié: (2019)

Differentiation of Blackbox Combinatorial Solvers
par: Vlastelica, Marin, et autres
Publié: (2019)

Properties that allow or prohibit transferability of adversarial attacks among quantized networks
par: Shrestha, Abhishek, et autres
Publié: (2024)

Rethinking Prompt Optimization: Reinforcement, Diversification, and Migration in Blackbox LLMs
par: Davari, MohammadReza, et autres
Publié: (2025)

Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers
par: Rolínek, Michal, et autres
Publié: (2020)

Preference-Optimized Pareto Set Learning for Blackbox Optimization
par: Haishan, Zhang, et autres
Publié: (2024)

Blackbox Model Provenance via Palimpsestic Membership Inference
par: Kuditipudi, Rohith, et autres
Publié: (2025)

Enhancing GNNs with Architecture-Agnostic Graph Transformations: A Systematic Analysis
par: Li, Zhifei, et autres
Publié: (2024)

On Ranking-based Tests of Independence
par: Limnios, Myrto, et autres
Publié: (2024)

Whispering to a Blackbox: Bootstrapping Frozen OCR with Visual Prompts
par: Samandarov, Samandar, et autres
Publié: (2026)

Improving Structural Diversity of Blackbox LLMs via Chain-of-Specification Prompting
par: Young, Halley, et autres
Publié: (2024)

Geometry Preserving Loss Functions Promote Improved Adaptation of Blackbox Generative Model
par: Mitra, Sinjini, et autres
Publié: (2026)

Learning Representations for Independence Testing
par: Xu, Nathaniel, et autres
Publié: (2024)

Amortized Conditional Independence Testing
par: Duong, Bao, et autres
Publié: (2025)

Fast Flow Matching based Conditional Independence Tests for Causal Discovery
par: Zhao, Shunyu, et autres
Publié: (2026)

Score-based Generative Modeling for Conditional Independence Testing
par: Ren, Yixin, et autres
Publié: (2025)

XSub: Explanation-Driven Adversarial Attack against Blackbox Classifiers via Feature Substitution
par: Vu, Kiana, et autres
Publié: (2024)

Practical Kernel Tests of Conditional Independence
par: Pogodin, Roman, et autres
Publié: (2024)

Independence Testing for Temporal Data
par: Shen, Cencheng, et autres
Publié: (2019)

Capturing Semantic Flow of ML-based Systems
par: Yoo, Shin, et autres
Publié: (2025)

BlackboxNLP-2025 MIB Shared Task: Exploring Ensemble Strategies for Circuit Localization Methods
par: Mondorf, Philipp, et autres
Publié: (2025)

Stress-Testing ML Pipelines with Adversarial Data Corruption
par: Zhu, Jiongli, et autres
Publié: (2025)

Independence Tests for Language Models
par: Zhu, Sally, et autres
Publié: (2025)

Empirically Calibrated Conditional Independence Tests
par: Pan, Milleno, et autres
Publié: (2026)

On the Hardness of Conditional Independence Testing In Practice
par: He, Zheng, et autres
Publié: (2025)

Unified Embedding: Battle-Tested Feature Representations for Web-Scale ML Systems
par: Coleman, Benjamin, et autres
Publié: (2023)

PostMark: A Robust Blackbox Watermark for Large Language Models
par: Chang, Yapei, et autres
Publié: (2024)

On the Number of Conditional Independence Tests in Constraint-based Causal Discovery
par: Monés, Marc Franquesa, et autres
Publié: (2026)

Towards Robust Car Following Dynamics Modeling via Blackbox Models: Methodology, Analysis, and Recommendations
par: Shahid, Muhammad Bilal, et autres
Publié: (2024)

Guiding Exploration in Reinforcement Learning Through LLM-Augmented Observations
par: Jain, Vaibhav, et autres
Publié: (2025)

Auto-encoding Molecules: Graph-Matching Capabilities Matter
par: Cunow, Magnus, et autres
Publié: (2025)

Conditional Diffusion Models Based Conditional Independence Testing
par: Yang, Yanfeng, et autres
Publié: (2024)

On The Dynamic Ensemble Selection for TinyML-based Systems -- a Preliminary Study
par: Puslecki, Tobiasz, et autres
Publié: (2025)

Reverse N-Wise Output-Oriented Testing for AI/ML and Quantum Computing Systems
par: Rihani, Lamine
Publié: (2026)

Sequential Kernelized Independence Testing
par: Podkopaev, Aleksandr, et autres
Publié: (2022)

Meta-Dependence in Conditional Independence Testing
par: Mazaheri, Bijan, et autres
Publié: (2025)

Differentially Private Conditional Independence Testing
par: Kalemaj, Iden, et autres
Publié: (2023)

Systematically Assessing the Security Risks of AI/ML-enabled Connected Healthcare Systems
par: Elnawawy, Mohammed, et autres
Publié: (2024)

ComplicitSplat: Downstream Models are Vulnerable to Blackbox Attacks by 3D Gaussian Splat Camouflages
par: Hull, Matthew, et autres
Publié: (2025)

Toward Scalable and Valid Conditional Independence Testing with Spectral Representations
par: Frohlich, Alek, et autres
Publié: (2025)