Maximilian Baader
14 papers · 2019–2025 · 5 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (33) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
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Dynamic Duo
(14)
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Grand Slam
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Prolific Year · Productive
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The Questioner
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Century Club · Bronze
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(63)
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Machine Learning
(11)
Artificial Intelligence
(10)
Core AI · Artificial Intelligence
(9)
Optimization & Theory · Machine Learning
(8)
Deep Learning
(7)
Application Areas
(5)
Computer Vision
(3)
Architectures
(3)
Optimization & Theory · Deep Learning
(3)
Analysis
(2)
Core AI · Computer Vision
(2)
Techniques
(2)
Security & Privacy
(1)
Bayesian & Probabilistic
(1)
Learning Paradigms
(1)
Keywords
federated learning
(3)
large language model
(3)
adversarial robustness
(3)
gradient inversion
(2)
randomized smoothing
(2)
privacy attack
(2)
gradient inversion attack
(2)
convex relaxation
(2)
computer vision
(2)
certified robustness
(2)
neural network verification
(2)
exact reconstruction
(2)
formal verification
(1)
point cloud
(1)
universal approximation
(1)
bias detection
(1)
model selection
(1)
text reconstruction
(1)
adversarial attack
(1)
data privacy
(1)
Papers
A Unified Approach to Routing and Cascading for LLMs
ICML 2025
BaxBench: Can LLMs Generate Correct and Secure Backends?
ICML 2025
GRAIN: Exact Graph Reconstruction from Gradients
ICLR 2025
Polyrating: A Cost-Effective and Bias-Aware Rating System for LLM Evaluation
ICLR 2025
Ward: Provable RAG Dataset Inference via LLM Watermarks
ICLR 2025
DAGER: Exact Gradient Inversion for Large Language Models
NeurIPS 2024
Expressivity of ReLU-Networks under Convex Relaxations
ICLR 2024
SPEAR: Exact Gradient Inversion of Batches in Federated Learning
NeurIPS 2024
Latent Space Smoothing for Individually Fair Representations
ECCV 2022
Efficient Certification of Spatial Robustness
AAAI 2021
Scalable Certified Segmentation via Randomized Smoothing
ICML 2021
Certified Defense to Image Transformations via Randomized Smoothing
NeurIPS 2020
Universal Approximation with Certified Networks
ICLR 2020
Certifying Geometric Robustness of Neural Networks
NeurIPS 2019