Alexandre Araujo
14 papers · 2019–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π Interdisciplinary Bridge π Conference Polyglot (6) π§ Keyword Pioneer π Cross-Pollinator (12)
π
Cross-Pollinator
(12)
π
Grand Slam
π
Keyword Champion
(2)
π
Triple Crown
π₯
Unstoppable
(5)
π
Century Club
(14)
β‘
Prolific Year
(5)
Conferences
ICLR (5)
ICML (3)
NIPS (3)
AAAI (1)
NAACL (1)
UAI (1)
Top co-authors
Keywords
adversarial robustness
(4)
lipschitz constant
(3)
certified robustness
(2)
convolutional neural network
(2)
adversarial attack
(2)
diffusion model
(2)
randomized smoothing
(1)
deep equilibrium model
(1)
adversarial example
(1)
jailbreak attack
(1)
residual network
(1)
lipschitz regularization
(1)
prompt injection
(1)
implicit model
(1)
power iteration
(1)
inference time
(1)
adversarial sample
(1)
lipshitz constant
(1)
gram iteration
(1)
network robustness
(1)
Papers
Stronger Universal and Transferable Attacks by Suppressing Refusals
NAACL 2025
Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations
ICLR 2024
The Lipschitz-Variance-Margin Tradeoff for Enhanced Randomized Smoothing
ICLR 2024
LipSim: A Provably Robust Perceptual Similarity Metric
ICLR 2024
Fine-grained Local Sensitivity Analysis of Standard Dot-Product Self-Attention
ICML 2024
On the Scalability and Memory Efficiency of Semidefinite Programs for Lipschitz Constant Estimation of Neural Networks
ICLR 2024
Towards better certified segmentation via diffusion models
UAI 2023
Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability
NIPS 2023
Exploiting Connections between Lipschitz Structures for Certifiably Robust Deep Equilibrium Models
NIPS 2023
A Unified Algebraic Perspective on Lipschitz Neural Networks
ICLR 2023
Efficient Bound of Lipschitz Constant for Convolutional Layers by Gram Iteration
ICML 2023
A Dynamical System Perspective for Lipschitz Neural Networks
ICML 2022
On Lipschitz Regularization of Convolutional Layers using Toeplitz Matrix Theory
AAAI 2021
Theoretical evidence for adversarial robustness through randomization
NIPS 2019