DefenSee: Dissecting Threat from Sight and Text – A Multi-View Defensive Pipeline for Multi-modal Jailbreaks
Authors: Zihao Wang, Kar Wai Fok, Vrizlynn L. L. Thing | Published: 2025-12-01
堅牢性向上手法
On the Feasibility of Hijacking MLLMs’ Decision Chain via One Perturbation
Authors: Changyue Li, Jiaying Li, Youliang Yuan, Jiaming He, Zhicong Huang, Pinjia He | Published: 2025-11-25
Q-MLLM: Vector Quantization for Robust Multimodal Large Language Model Security
Authors: Wei Zhao, Zhe Li, Yige Li, Jun Sun | Published: 2025-11-20
FlowPure: Continuous Normalizing Flows for Adversarial Purification
Authors: Elias Collaert, Abel Rodríguez, Sander Joos, Lieven Desmet, Vera Rimmer | Published: 2025-05-19
Addressing Neural Network Robustness with Mixup and Targeted Labeling Adversarial Training
Authors: Alfred Laugros, Alice Caplier, Matthieu Ospici | Published: 2020-08-19
Provably robust deep generative models
Authors: Filipe Condessa, Zico Kolter | Published: 2020-04-22
Certifying Joint Adversarial Robustness for Model Ensembles
Authors: Mainuddin Ahmad Jonas, David Evans | Published: 2020-04-21
Luring of transferable adversarial perturbations in the black-box paradigm
Authors: Rémi Bernhard, Pierre-Alain Moellic, Jean-Max Dutertre | Published: 2020-04-10 | Updated: 2021-03-03
Adversarial Robustness for Code
Authors: Pavol Bielik, Martin Vechev | Published: 2020-02-11 | Updated: 2020-08-15
Robustness of Bayesian Neural Networks to Gradient-Based Attacks
Authors: Ginevra Carbone, Matthew Wicker, Luca Laurenti, Andrea Patane, Luca Bortolussi, Guido Sanguinetti | Published: 2020-02-11 | Updated: 2020-06-24