Hadi Salman
15 papers · 2018–2023 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+6 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (30) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
ποΈ
Keyword Collector
(73)
π
Conference Pioneer
π₯
Unstoppable Β· Bronze
β
The Questioner
π
Century Club Β· Bronze
π
Trend Setter
Top co-authors
Research topics
Machine Learning
(12)
Artificial Intelligence
(8)
Application Areas
(7)
Core AI Β· Artificial Intelligence
(7)
Deep Learning
(6)
Learning Types Β· Machine Learning
(6)
Computer Vision
(4)
Optimization & Theory
(4)
Architectures
(3)
Learning Types Β· Deep Learning
(3)
Core AI Β· Computer Vision
(2)
Security & Privacy
(1)
Analysis
(1)
Domain-Specific
(1)
Generation
(1)
Keywords
adversarial robustness
(5)
image classification
(4)
adversarial defense
(3)
randomized smoothing
(3)
adversarial learning
(3)
certified robustness
(3)
computer vision
(2)
transfer learning
(2)
model debugging
(2)
causal discovery
(1)
object recognition
(1)
image generation
(1)
feature representation
(1)
robust statistics
(1)
domain adaptation
(1)
efficient computing
(1)
deep learning
(1)
domain generalization
(1)
adversarial training
(1)
image editing
(1)
Papers
A Data-Based Perspective on Transfer Learning
CVPR 2023
FFCV: Accelerating Training by Removing Data Bottlenecks
CVPR 2023
Raising the Cost of Malicious AI-Powered Image Editing
ICML 2023
Rethinking Backdoor Attacks
ICML 2023
3DB: A Framework for Debugging Computer Vision Models
NeurIPS 2022
CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning
CLeaR 2022
Certified Patch Robustness via Smoothed Vision Transformers
CVPR 2022
Missingness Bias in Model Debugging
ICLR 2022
Unadversarial Examples: Designing Objects for Robust Vision
NeurIPS 2021
Denoised Smoothing: A Provable Defense for Pretrained Classifiers
NeurIPS 2020
Do Adversarially Robust ImageNet Models Transfer Better?
NeurIPS 2020
Randomized Smoothing of All Shapes and Sizes
ICML 2020
A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks
NeurIPS 2019
Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers
NeurIPS 2019
A Real-time Augmented Reality Surgical System for Overlaying Stiffness Information
RSS 2018