Alexandre Araujo

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 36

Top Topics

Diffusion Model

Exponential Family

Top Venues

Publications

Blaise Delattre, Alexandre Araujo, Quentin Barthélemy, Alexandre Allauzen
The Lipschitz-Variance-Margin Tradeoff for Enhanced Randomized Smoothing. ICLR (2024)
Sara Ghazanfari, Alexandre Araujo, Prashanth Krishnamurthy, Farshad Khorrami, Siddharth Garg
LipSim: A Provably Robust Perceptual Similarity Metric. ICLR (2024)
Patricia Pauli, Aaron J. Havens, Alexandre Araujo, Siddharth Garg, Farshad Khorrami, Frank Allgöwer, Bin Hu
Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations. ICLR (2024)
Zi Wang, Bin Hu, Aaron J. Havens, Alexandre Araujo, Yang Zheng, Yudong Chen, Somesh Jha
On the Scalability and Memory Efficiency of Semidefinite Programs for Lipschitz Constant Estimation of Neural Networks. ICLR (2024)
Patricia Pauli, Aaron J. Havens, Alexandre Araujo, Siddharth Garg, Farshad Khorrami, Frank Allgöwer, Bin Hu
Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations. CoRR (2024)
Chawin Sitawarin, Norman Mu, David A. Wagner, Alexandre Araujo
PAL: Proxy-Guided Black-Box Attack on Large Language Models. CoRR (2024)
Haotian Xue, Alexandre Araujo, Bin Hu, Yongxin Chen
Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability. NeurIPS (2023)
Sara Ghazanfari, Alexandre Araujo, Prashanth Krishnamurthy, Farshad Khorrami, Siddharth Garg
LipSim: A Provably Robust Perceptual Similarity Metric. CoRR (2023)
Alexandre Araujo, Aaron Havens, Blaise Delattre, Alexandre Allauzen, Bin Hu
A Unified Algebraic Perspective on Lipschitz Neural Networks. CoRR (2023)
Othmane Laousy, Alexandre Araujo, Guillaume Chassagnon, Marie-Pierre Revel, Siddharth Garg, Farshad Khorrami, Maria Vakalopoulou
Towards better certified segmentation via diffusion models. UAI (2023)
Blaise Delattre, Quentin Barthélemy, Alexandre Araujo, Alexandre Allauzen
Efficient Bound of Lipschitz Constant for Convolutional Layers by Gram Iteration. CoRR (2023)
Alexandre Araujo, Aaron J. Havens, Blaise Delattre, Alexandre Allauzen, Bin Hu
A Unified Algebraic Perspective on Lipschitz Neural Networks. ICLR (2023)
Sara Ghazanfari, Siddharth Garg, Prashanth Krishnamurthy, Farshad Khorrami, Alexandre Araujo
R-LPIPS: An Adversarially Robust Perceptual Similarity Metric. CoRR (2023)
Othmane Laousy, Alexandre Araujo, Guillaume Chassagnon, Marie-Pierre Revel, Siddharth Garg, Farshad Khorrami, Maria Vakalopoulou
Towards Better Certified Segmentation via Diffusion Models. CoRR (2023)
Alexandre Araujo, Jean Ponce, Julien Mairal
Towards Real-World Focus Stacking with Deep Learning. CoRR (2023)
Aaron J. Havens, Alexandre Araujo, Siddharth Garg, Farshad Khorrami, Bin Hu
Exploiting Connections between Lipschitz Structures for Certifiably Robust Deep Equilibrium Models. NeurIPS (2023)
Haotian Xue, Alexandre Araujo, Bin Hu, Yongxin Chen
Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability. CoRR (2023)
Blaise Delattre, Alexandre Araujo, Quentin Barthélemy, Alexandre Allauzen
The Lipschitz-Variance-Margin Tradeoff for Enhanced Randomized Smoothing. CoRR (2023)
Othmane Laousy, Alexandre Araujo, Guillaume Chassagnon, Nikos Paragios, Marie-Pierre Revel, Maria Vakalopoulou
Certification of Deep Learning Models for Medical Image Segmentation. CoRR (2023)
Othmane Laousy, Alexandre Araujo, Guillaume Chassagnon, Nikos Paragios, Marie-Pierre Revel, Maria Vakalopoulou
Certification of Deep Learning Models for Medical Image Segmentation. MICCAI (4) (2023)
Blaise Delattre, Quentin Barthélemy, Alexandre Araujo, Alexandre Allauzen
Efficient Bound of Lipschitz Constant for Convolutional Layers by Gram Iteration. ICML (2023)
Raphael Ettedgui, Alexandre Araujo, Rafael Pinot, Yann Chevaleyre, Jamal Atif
Towards Evading the Limits of Randomized Smoothing: A Theoretical Analysis. CoRR (2022)
Laurent Meunier, Blaise Delattre, Alexandre Araujo, Alexandre Allauzen
A Dynamical System Perspective for Lipschitz Neural Networks. ICML (2022)
Laurent Meunier, Blaise Delattre, Alexandre Araujo, Alexandre Allauzen
Scalable Lipschitz Residual Networks with Convex Potential Flows. CoRR (2021)
Alexandre Araujo
Building Compact and Robust Deep Neural Networks with Toeplitz Matrices. CoRR (2021)
Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif
On Lipschitz Regularization of Convolutional Layers using Toeplitz Matrix Theory. AAAI (2021)
Alexandre Araujo, Laurent Meunier, Rafael Pinot, Benjamin Négrevergne
Advocating for Multiple Defense Strategies Against Adversarial Examples. PKDD/ECML Workshops (2020)
Alexandre Araujo, Laurent Meunier, Rafael Pinot, Benjamin Négrevergne
Advocating for Multiple Defense Strategies against Adversarial Examples. CoRR (2020)
Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif
Understanding and Training Deep Diagonal Circulant Neural Networks. ECAI (2020)
Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif
Fast & Accurate Method for Bounding the Singular Values of Convolutional Layers with Application to Lipschitz Regularization. CoRR (2020)
Rafael Pinot, Laurent Meunier, Alexandre Araujo, Hisashi Kashima, Florian Yger, Cédric Gouy-Pailler, Jamal Atif
Theoretical evidence for adversarial robustness through randomization: the case of the Exponential family. CoRR (2019)
Alexandre Araujo, Rafael Pinot, Benjamin Négrevergne, Laurent Meunier, Yann Chevaleyre, Florian Yger, Jamal Atif
Robust Neural Networks using Randomized Adversarial Training. CoRR (2019)
Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif
On the Expressive Power of Deep Fully Circulant Neural Networks. CoRR (2019)
Rafael Pinot, Laurent Meunier, Alexandre Araujo, Hisashi Kashima, Florian Yger, Cédric Gouy-Pailler, Jamal Atif
Theoretical evidence for adversarial robustness through randomization. NeurIPS (2019)
Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif
Training Compact Deep Learning Models for Video Classification Using Circulant Matrices. ECCV Workshops (4) (2018)
Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif
Training compact deep learning models for video classification using circulant matrices. CoRR (2018)