Mark Niklas Müller
5 papers · 2024–2024 · 2 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(19)
🐣
Hot Topic Early Bird
⚡
Prolific Year · Productive
Venues
Top co-authors
Research topics
Artificial Intelligence
(5)
Machine Learning
(5)
Application Areas
(4)
Learning Types
(4)
Core AI
(3)
Learning Paradigms · Artificial Intelligence
(2)
Optimization & Theory
(2)
Computer Science
(1)
Deep Learning
(1)
Natural Language Processing
(1)
Security & Privacy
(1)
Applications
(1)
Learning Paradigms · Machine Learning
(1)
Models
(1)
Privacy
(1)
Keywords
large language model
(3)
privacy attack
(2)
federated learning
(2)
benchmark evaluation
(2)
gradient inversion
(2)
exact reconstruction
(2)
text reconstruction
(1)
code generation
(1)
model merging
(1)
model comparison
(1)
language model
(1)
test generation
(1)
software testing
(1)
code agent
(1)
bug fixing
(1)
performance measurement
(1)
batch reconstruction
(1)
token recovery
(1)
data contamination
(1)
statistical detection
(1)
Papers
ConStat: Performance-Based Contamination Detection in Large Language Models
NeurIPS 2024
DAGER: Exact Gradient Inversion for Large Language Models
NeurIPS 2024
Mitigating Catastrophic Forgetting in Language Transfer via Model Merging
EMNLP 2024
SPEAR: Exact Gradient Inversion of Batches in Federated Learning
NeurIPS 2024
SWT-Bench: Testing and Validating Real-World Bug-Fixes with Code Agents
NeurIPS 2024