Alexandre Araujo
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
8
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | NAACL | Stronger Universal and Transferable Attacks by Suppressing Refusals. | David Huang, Avidan Shah, Alexandre Araujo, David A. Wagner, Chawin Sitawarin |
| 2024 | ICLR | The Lipschitz-Variance-Margin Tradeoff for Enhanced Randomized Smoothing. | Blaise Delattre, Alexandre Araujo, Quentin Barthlemy, Alexandre Allauzen |
| 2024 | ICLR | LipSim: A Provably Robust Perceptual Similarity Metric. | Sara Ghazanfari, Alexandre Araujo, Prashanth Krishnamurthy, Farshad Khorrami, Siddharth Garg |
| 2024 | ICLR | Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations. | Patricia Pauli, Aaron J. Havens, Alexandre Araujo, Siddharth Garg, Farshad Khorrami, Frank Allgwer, Bin Hu |
| 2024 | ICLR | On the Scalability and Memory Efficiency of Semidefinite Programs for Lipschitz Constant Estimation of Neural Networks. | Zi Wang, Bin Hu, Aaron J. Havens, Alexandre Araujo, Yang Zheng, Yudong Chen, Somesh Jha |
| 2024 | ICML | Fine-grained Local Sensitivity Analysis of Standard Dot-Product Self-Attention. | Aaron J. Havens, Alexandre Araujo, Huan Zhang, Bin Hu |
| 2023 | ICLR | A Unified Algebraic Perspective on Lipschitz Neural Networks. | Alexandre Araujo, Aaron J. Havens, Blaise Delattre, Alexandre Allauzen, Bin Hu |
| 2023 | ICML | Efficient Bound of Lipschitz Constant for Convolutional Layers by Gram Iteration. | Blaise Delattre, Quentin Barthlemy, Alexandre Araujo, Alexandre Allauzen |
| 2023 | MICCAI | Certification of Deep Learning Models for Medical Image Segmentation. | Othmane Laousy, Alexandre Araujo, Guillaume Chassagnon, Nikos Paragios, Marie-Pierre Revel, Maria Vakalopoulou |
| 2023 | UAI | Towards better certified segmentation via diffusion models. | Othmane Laousy, Alexandre Araujo, Guillaume Chassagnon, Marie-Pierre Revel, Siddharth Garg, Farshad Khorrami, Maria Vakalopoulou |
| 2022 | ICML | A Dynamical System Perspective for Lipschitz Neural Networks. | Laurent Meunier, Blaise Delattre, Alexandre Araujo, Alexandre Allauzen |
| 2021 | AAAI | On Lipschitz Regularization of Convolutional Layers using Toeplitz Matrix Theory. | Alexandre Araujo, Benjamin Ngrevergne, Yann Chevaleyre, Jamal Atif |
| 2020 | ECAI | Understanding and Training Deep Diagonal Circulant Neural Networks. | Alexandre Araujo, Benjamin Ngrevergne, Yann Chevaleyre, Jamal Atif |
| 2018 | ECCV | Training Compact Deep Learning Models for Video Classification Using Circulant Matrices. | Alexandre Araujo, Benjamin Ngrevergne, Yann Chevaleyre, Jamal Atif |