Sven Gowal
27 papers · 2019–2025 · 9 venues · across top CS/AI venues
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Achievements
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Dynamic Duo
(12)
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(12)
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Renaissance Researcher
(5)
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Conference Pioneer
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Keyword Collector
(90)
Top co-authors
Research topics
Machine Learning
(23)
Deep Learning
(16)
Artificial Intelligence
(14)
Learning Types Β· Machine Learning
(14)
Core AI
(13)
Optimization & Theory Β· Machine Learning
(10)
Application Areas
(9)
Learning Types Β· Deep Learning
(7)
Models
(5)
Techniques
(4)
Computer Vision
(3)
Analysis
(3)
Architectures
(3)
Optimization & Theory Β· Deep Learning
(3)
Core Methods
(2)
Keywords
adversarial robustness
(14)
adversarial training
(8)
data augmentation
(5)
neural network verification
(5)
image classification
(5)
formal verification
(4)
adversarial attack
(4)
interval bound propagation
(4)
model robustness
(3)
distribution shift
(3)
verified accuracy
(2)
self-supervised learning
(2)
model soup
(2)
generative model
(2)
adversarial perturbation
(2)
representation learning
(2)
domain generalization
(2)
lagrangian relaxation
(2)
variational autoencoder
(2)
neural network
(2)
Papers
On the Difficulty of Constructing a Robust and Publicly-Detectable Watermark
AISTATS 2025
Evaluating Model Bias Requires Characterizing its Mistakes
ICML 2024
Benchmarking Robustness to Adversarial Image Obfuscations
NeurIPS 2023
Revisiting adapters with adversarial training
ICLR 2023
Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts
CVPR 2023
A Fine-Grained Analysis on Distribution Shift
ICLR 2022
Defending Against Image Corruptions Through Adversarial Augmentations
ICLR 2022
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses
ICML 2022
Hindering Adversarial Attacks with Implicit Neural Representations
ICML 2022
Data Augmentation Can Improve Robustness
NeurIPS 2021
Improving Robustness using Generated Data
NeurIPS 2021
Make Sure You're Unsure: A Framework for Verifying Probabilistic Specifications
NeurIPS 2021
Self-supervised Adversarial Robustness for the Low-label, High-data Regime
ICLR 2021
Achieving Robustness in the Wild via Adversarial Mixing With Disentangled Representations
CVPR 2020
A FRAMEWORK FOR ROBUSTNESS CERTIFICATION OF SMOOTHED CLASSIFIERS USING F-DIVERGENCES
ICLR 2020
The Autoencoding Variational Autoencoder
NeurIPS 2020
Towards Robust Image Classification Using Sequential Attention Models
CVPR 2020
Towards Stable and Efficient Training of Verifiably Robust Neural Networks
ICLR 2020
Towards Verified Robustness under Text Deletion Interventions
ICLR 2020
Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation
EMNLP 2019
A Dual Approach to Verify and Train Deep Networks
IJCAI 2019
Adversarial Robustness through Local Linearization
NeurIPS 2019
Beyond Greedy Ranking: Slate Optimization via List-CVAE
ICLR 2019
Efficient Neural Network Verification with Exactness Characterization
UAI 2019
Learning from Delayed Outcomes via Proxies with Applications to Recommender Systems
ICML 2019
Scalable Verified Training for Provably Robust Image Classification
ICCV 2019
Verification of Non-Linear Specifications for Neural Networks
ICLR 2019