Araujo, Alexandre

17 publications

TMLR 2025 EMMA: Efficient Visual Alignment in Multi-Modal LLMs Sara Ghazanfari, Alexandre Araujo, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami

ICML 2024 Fine-Grained Local Sensitivity Analysis of Standard Dot-Product Self-Attention Aaron J Havens, Alexandre Araujo, Huan Zhang, Bin Hu

ICLR 2024 LipSim: A Provably Robust Perceptual Similarity Metric Sara Ghazanfari, Alexandre Araujo, Prashanth Krishnamurthy, Farshad Khorrami, Siddharth Garg

ICLR 2024 Novel Quadratic Constraints for Extending LipSDP Beyond Slope-Restricted Activations Patricia Pauli, Aaron J Havens, Alexandre Araujo, Siddharth Garg, Farshad Khorrami, Frank Allgöwer, Bin Hu

ICLR 2024 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

NeurIPSW 2024 Stronger Universal and Transfer Attacks by Suppressing Refusals David Huang, Avidan Shah, Alexandre Araujo, David Wagner, Chawin Sitawarin

ICLR 2024 The Lipschitz-Variance-Margin Tradeoff for Enhanced Randomized Smoothing Blaise Delattre, Alexandre Araujo, Quentin Barthélemy, Alexandre Allauzen

ICLR 2023 A Unified Algebraic Perspective on Lipschitz Neural Networks Alexandre Araujo, Aaron J Havens, Blaise Delattre, Alexandre Allauzen, Bin Hu

NeurIPS 2023 Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability Haotian Xue, Alexandre Araujo, Bin Hu, Yongxin Chen

ICML 2023 Efficient Bound of Lipschitz Constant for Convolutional Layers by Gram Iteration Blaise Delattre, Quentin Barthélemy, Alexandre Araujo, Alexandre Allauzen

NeurIPS 2023 Exploiting Connections Between Lipschitz Structures for Certifiably Robust Deep Equilibrium Models Aaron Havens, Alexandre Araujo, Siddharth Garg, Farshad Khorrami, Bin Hu

ICMLW 2023 R-LPIPS: An Adversarially Robust Perceptual Similarity Metric Sara Ghazanfari, Siddharth Garg, Prashanth Krishnamurthy, Farshad Khorrami, Alexandre Araujo

UAI 2023 Towards Better Certified Segmentation via Diffusion Models Othmane Laousy, Alexandre Araujo, Guillaume Chassagnon, Marie-Pierre Revel, Siddharth Garg, Farshad Khorrami, Maria Vakalopoulou

ICML 2022 A Dynamical System Perspective for Lipschitz Neural Networks Laurent Meunier, Blaise J Delattre, Alexandre Araujo, Alexandre Allauzen

AAAI 2021 On Lipschitz Regularization of Convolutional Layers Using Toeplitz Matrix Theory Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif

NeurIPS 2019 Theoretical Evidence for Adversarial Robustness Through Randomization Rafael Pinot, Laurent Meunier, Alexandre Araujo, Hisashi Kashima, Florian Yger, Cedric Gouy-Pailler, Jamal Atif

ECCVW 2018 Training Compact Deep Learning Models for Video Classification Using Circulant Matrices Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif