Marc Fischer
15 papers · 2019–2024 · 3 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🐝 Cross-Pollinator (10) 🧭 Keyword Pioneer 🌍 Conference Polyglot (3) 🌉 Interdisciplinary Bridge
🗺️
Taxonomy Completionist
(24)
🧭
Keyword Pioneer
👑
Triple Crown
🤝
Dynamic Duo
(14)
⚡
Prolific Year
(5)
💎
Century Club
(15)
🔥
Unstoppable
(6)
Conferences
NIPS (6)
ICLR (5)
ICML (4)
Top co-authors
Keywords
randomized smoothing
(3)
neural network
(2)
certified robustness
(2)
semantic segmentation
(1)
semi-supervised learning
(1)
label noise
(1)
adversarial learning
(1)
anomaly detection
(1)
computer vision
(1)
model evaluation
(1)
point cloud
(1)
adversarial training
(1)
latent representation
(1)
gradient-based method
(1)
domain knowledge
(1)
adversarial robustness
(1)
image segmentation
(1)
adversarial defense
(1)
interval bound propagation
(1)
image classification
(1)
Papers
AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents
NIPS 2024
Understanding Certified Training with Interval Bound Propagation
ICLR 2024
Controlled Text Generation via Language Model Arithmetic
ICLR 2024
Prompt Sketching for Large Language Models
ICML 2024
Guiding LLMs The Right Way: Fast, Non-Invasive Constrained Generation
ICML 2024
Efficient Certified Training and Robustness Verification of Neural ODEs
ICLR 2023
Automated Classification of Model Errors on ImageNet
NIPS 2023
Connecting Certified and Adversarial Training
NIPS 2023
Certified Training: Small Boxes are All You Need
ICLR 2023
Boosting Randomized Smoothing with Variance Reduced Classifiers
ICLR 2022
(De-)Randomized Smoothing for Decision Stump Ensembles
NIPS 2022
Scalable Certified Segmentation via Randomized Smoothing
ICML 2021
Learning Certified Individually Fair Representations
NIPS 2020
Certified Defense to Image Transformations via Randomized Smoothing
NIPS 2020
DL2: Training and Querying Neural Networks with Logic
ICML 2019