LORE: Lagrangian-Optimized Robust Embeddings for Visual Encoders

24 May 2025

Borna Khodabandeh

Amirabbas Afzali

Amirhossein Afsharrad

Seyed Shahabeddin Mousavi

Sanjay Lall

Sajjad Amini

Seyed-Mohsen Moosavi-Dezfooli

AAML

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Papers citing "LORE: Lagrangian-Optimized Robust Embeddings for Visual Encoders"

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Title
Adversarially Robust CLIP Models Can Induce Better (Robust) Perceptual Metrics Francesco Croce Christian Schlarmann Naman D. Singh Matthias Hein 114 6 0 17 Feb 2025
Text-Guided Attention is All You Need for Zero-Shot Robustness in Vision-Language Models Lu Yu Haiyang Zhang Changsheng Xu AAML VLM 54 5 0 29 Oct 2024
Online Zero-Shot Classification with CLIP Qi Qian Juhua Hu VLM 50 6 0 23 Aug 2024
Revisiting the Adversarial Robustness of Vision Language Models: a Multimodal Perspective Wanqi Zhou Shuanghao Bai Qibin Zhao Badong Chen VLM AAML 67 8 0 30 Apr 2024
Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models Christian Schlarmann Naman D. Singh Francesco Croce Matthias Hein VLM AAML 54 44 0 19 Feb 2024
Pre-trained Model Guided Fine-Tuning for Zero-Shot Adversarial Robustness Sibo Wang Jie Zhang Zheng Yuan Shiguang Shan VLM 38 22 0 09 Jan 2024
BadCLIP: Trigger-Aware Prompt Learning for Backdoor Attacks on CLIP Jiawang Bai Kuofeng Gao Shaobo Min Shu-Tao Xia Zhifeng Li Wei Liu VLM 39 39 0 26 Nov 2023
Adversarial Illusions in Multi-Modal Embeddings Tingwei Zhang Rishi Jha Eugene Bagdasaryan Vitaly Shmatikov AAML 45 11 0 22 Aug 2023
OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models Anas Awadalla Irena Gao Josh Gardner Jack Hessel Yusuf Hanafy ... Simon Kornblith Pang Wei Koh Gabriel Ilharco Mitchell Wortsman Ludwig Schmidt MLLM 71 410 0 02 Aug 2023
Understanding Zero-Shot Adversarial Robustness for Large-Scale Models Chengzhi Mao Scott Geng Junfeng Yang Xin Eric Wang Carl Vondrick VLM 55 63 0 14 Dec 2022
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding Chitwan Saharia William Chan Saurabh Saxena Lala Li Jay Whang ... Raphael Gontijo-Lopes Tim Salimans Jonathan Ho David J Fleet Mohammad Norouzi VLM 180 5,894 0 23 May 2022
CLIP-Art: Contrastive Pre-training for Fine-Grained Art Classification Marcos V. Conde Kerem Turgutlu CLIP VLM 49 98 0 29 Apr 2022
A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-language Model Mengde Xu Zheng Zhang Fangyun Wei Yutong Lin Yue Cao Han Hu Xiang Bai VLM 70 214 0 29 Dec 2021
RegionCLIP: Region-based Language-Image Pretraining Yiwu Zhong Jianwei Yang Pengchuan Zhang Chunyuan Li Noel Codella ... Luowei Zhou Xiyang Dai Lu Yuan Yin Li Jianfeng Gao VLM CLIP 72 568 0 16 Dec 2021
Adversarial Robustness with Semi-Infinite Constrained Learning Alexander Robey Luiz F. O. Chamon George J. Pappas Hamed Hassani Alejandro Ribeiro AAML OOD 120 46 0 29 Oct 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 347 28,659 0 26 Feb 2021
Probably Approximately Correct Constrained Learning Luiz F. O. Chamon Alejandro Ribeiro 32 40 0 09 Jun 2020
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks Francesco Croce Matthias Hein AAML 159 1,821 0 03 Mar 2020
Precise Tradeoffs in Adversarial Training for Linear Regression Adel Javanmard Mahdi Soltanolkotabi Hamed Hassani AAML 23 106 0 24 Feb 2020
The empirical duality gap of constrained statistical learning Luiz F. O. Chamon Santiago Paternain Miguel Calvo-Fullana Alejandro Ribeiro 29 9 0 12 Feb 2020
Square Attack: a query-efficient black-box adversarial attack via random search Maksym Andriushchenko Francesco Croce Nicolas Flammarion Matthias Hein AAML 37 977 0 29 Nov 2019
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations Dan Hendrycks Thomas G. Dietterich OOD VLM 19 3,399 0 28 Mar 2019
Certified Adversarial Robustness via Randomized Smoothing Jeremy M. Cohen Elan Rosenfeld J. Zico Kolter AAML 83 2,018 0 08 Feb 2019
Theoretically Principled Trade-off between Robustness and Accuracy Hongyang R. Zhang Yaodong Yu Jiantao Jiao Eric Xing L. Ghaoui Michael I. Jordan 77 2,525 0 24 Jan 2019
Robustness May Be at Odds with Accuracy Dimitris Tsipras Shibani Santurkar Logan Engstrom Alexander Turner Aleksander Madry AAML 46 1,772 0 30 May 2018
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples Anish Athalye Nicholas Carlini D. Wagner AAML 119 3,171 0 01 Feb 2018
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 159 11,962 0 19 Jun 2017
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 420 3,124 0 04 Nov 2016
DeepFool: a simple and accurate method to fool deep neural networks Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi P. Frossard AAML 81 4,878 0 14 Nov 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 93 18,883 0 20 Dec 2014