Marc Fischer
15 papers · 2019–2024 · 3 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (30) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
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Dynamic Duo
(14)
🧬
Topic Evolution
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Triple Crown
⚡
Prolific Year · Productive
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Unstoppable · Bronze
💎
Century Club · Bronze
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Keyword Collector
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Research topics
Machine Learning
(12)
Artificial Intelligence
(9)
Core AI
(9)
Optimization & Theory · Machine Learning
(6)
Deep Learning
(5)
Learning Types · Machine Learning
(4)
Computer Vision
(3)
Natural Language Processing
(3)
Application Areas
(3)
Core Methods
(3)
Generation
(3)
Learning Types · Deep Learning
(3)
Analysis
(2)
Models
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
randomized smoothing
(4)
adversarial robustness
(4)
large language model
(3)
certified robustness
(3)
robustness verification
(2)
interval bound propagation
(2)
certified training
(2)
neural network
(2)
adversarial training
(1)
model evaluation
(1)
semi-supervised learning
(1)
point cloud
(1)
semantic segmentation
(1)
formal verification
(1)
computer vision
(1)
ensemble learning
(1)
adversarial learning
(1)
approximation error
(1)
domain knowledge
(1)
variance reduction
(1)
Papers
AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents
NeurIPS 2024
Controlled Text Generation via Language Model Arithmetic
ICLR 2024
Guiding LLMs The Right Way: Fast, Non-Invasive Constrained Generation
ICML 2024
Prompt Sketching for Large Language Models
ICML 2024
Understanding Certified Training with Interval Bound Propagation
ICLR 2024
Automated Classification of Model Errors on ImageNet
NeurIPS 2023
Certified Training: Small Boxes are All You Need
ICLR 2023
Connecting Certified and Adversarial Training
NeurIPS 2023
Efficient Certified Training and Robustness Verification of Neural ODEs
ICLR 2023
Boosting Randomized Smoothing with Variance Reduced Classifiers
ICLR 2022
(De-)Randomized Smoothing for Decision Stump Ensembles
NeurIPS 2022
Scalable Certified Segmentation via Randomized Smoothing
ICML 2021
Certified Defense to Image Transformations via Randomized Smoothing
NeurIPS 2020
Learning Certified Individually Fair Representations
NeurIPS 2020
DL2: Training and Querying Neural Networks with Logic
ICML 2019