How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective

27 March 2022

Papers citing "How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective"

34 / 34 papers shown

Title
ElasticZO: A Memory-Efficient On-Device Learning with Combined Zeroth- and First-Order Optimization Keisuke Sugiura Hiroki Matsutani MQ 36 1 0 08 Jan 2025
COAP: Memory-Efficient Training with Correlation-Aware Gradient Projection Jinqi Xiao S. Sang Tiancheng Zhi Jing Liu Qing Yan Linjie Luo Bo Yuan Bo Yuan VLM 86 1 0 26 Nov 2024
Adversarial Watermarking for Face Recognition Yuguang Yao Anil K. Jain Sijia Liu AAML 34 0 0 24 Sep 2024
Privacy-preserving Universal Adversarial Defense for Black-box Models Qiao Li Yanwei Yue Jing Chen Zijun Zhang Kun He Ruiying Du Xinxin Wang Qingchuang Zhao Yang Liu AAML 66 6 0 20 Aug 2024
Adversarial Robustification via Text-to-Image Diffusion Models Daewon Choi Jongheon Jeong Huiwon Jang Jinwoo Shin DiffM 44 1 0 26 Jul 2024
PartImageNet++ Dataset: Scaling up Part-based Models for Robust Recognition Xiao-Li Li Yining Liu Na Dong Sitian Qin Xiaolin Hu 41 3 0 15 Jul 2024
Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models Yimeng Zhang Xin Chen Jinghan Jia Yihua Zhang Chongyu Fan Jiancheng Liu Mingyi Hong Ke Ding Sijia Liu DiffM 38 52 0 24 May 2024
Cross-Input Certified Training for Universal Perturbations Changming Xu Gagandeep Singh AAML 33 2 0 15 May 2024
Advancing the Robustness of Large Language Models through Self-Denoised Smoothing Jiabao Ji Bairu Hou Zhen Zhang Guanhua Zhang Wenqi Fan Qing Li Yang Zhang Gaowen Liu Sijia Liu Shiyu Chang AAML 40 5 0 18 Apr 2024
Fully Zeroth-Order Bilevel Programming via Gaussian Smoothing Alireza Aghasi Saeed Ghadimi 33 2 0 29 Mar 2024
The Power of Few: Accelerating and Enhancing Data Reweighting with Coreset Selection Mohammad Jafari Yimeng Zhang Yihua Zhang Sijia Liu 38 2 0 18 Mar 2024
Privacy-preserving Fine-tuning of Large Language Models through Flatness Tiejin Chen Longchao Da Huixue Zhou Pingzhi Li Kaixiong Zhou Tianlong Chen Hua Wei 29 5 0 07 Mar 2024
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark Yihua Zhang Pingzhi Li Junyuan Hong Jiaxiang Li Yimeng Zhang ... Wotao Yin Mingyi Hong Zhangyang Wang Sijia Liu Tianlong Chen 25 45 0 18 Feb 2024
Robust MRI Reconstruction by Smoothed Unrolling (SMUG) S. Liang Van Hoang Minh Nguyen Jinghan Jia Ismail R. Alkhouri Sijia Liu S. Ravishankar 32 1 0 12 Dec 2023
Adversarial Prompt Tuning for Vision-Language Models Jiaming Zhang Xingjun Ma Xin Wang Lingyu Qiu Jiaqi Wang Yu-Gang Jiang Jitao Sang AAML VPVLM VLM 30 18 0 19 Nov 2023
To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now Yimeng Zhang Jinghan Jia Xin Chen Aochuan Chen Yihua Zhang Jiancheng Liu Ke Ding Sijia Liu DiffM 22 82 0 18 Oct 2023
ZooPFL: Exploring Black-box Foundation Models for Personalized Federated Learning Wang Lu Hao Yu Jindong Wang Damien Teney Haohan Wang Yiqiang Chen Qiang Yang Xing Xie Xiangyang Ji 70 8 0 08 Oct 2023
DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training Aochuan Chen Yimeng Zhang Jinghan Jia James Diffenderfer Jiancheng Liu Konstantinos Parasyris Yihua Zhang Zheng-Wei Zhang B. Kailkhura Sijia Liu 30 43 0 03 Oct 2023
Tensor-Compressed Back-Propagation-Free Training for (Physics-Informed) Neural Networks Yequan Zhao Xinling Yu Zhixiong Chen Z. Liu Sijia Liu Zheng-Wei Zhang PINN 27 11 0 18 Aug 2023
Post-train Black-box Defense via Bayesian Boundary Correction He-Nan Wang Yunfeng Diao AAML 42 1 0 29 Jun 2023
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning Zixuan Hu Li Shen Zhenyi Wang Baoyuan Wu Chun Yuan Dacheng Tao 47 7 0 28 May 2023
Certified Zeroth-order Black-Box Defense with Robust UNet Denoiser Astha Verma A. Subramanyam Siddhesh Bangar Naman Lal R. Shah Shiníchi Satoh 37 4 0 13 Apr 2023
SMUG: Towards robust MRI reconstruction by smoothed unrolling Hui Li Jinghan Jia S. Liang Yuguang Yao S. Ravishankar Sijia Liu 26 4 0 14 Mar 2023
Can Adversarial Examples Be Parsed to Reveal Victim Model Information? Yuguang Yao Jiancheng Liu Yifan Gong Xiaoming Liu Yanzhi Wang X. Lin Sijia Liu AAML MLAU 29 1 0 13 Mar 2023
Text-Visual Prompting for Efficient 2D Temporal Video Grounding Yimeng Zhang Xin Chen Jinghan Jia Sijia Liu Ke Ding 23 25 0 09 Mar 2023
Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts Francesco Croce Sylvestre-Alvise Rebuffi Evan Shelhamer Sven Gowal AAML 36 17 0 20 Feb 2023
Understanding and Improving Visual Prompting: A Label-Mapping Perspective Aochuan Chen Yuguang Yao Pin-Yu Chen Yihua Zhang Sijia Liu VPVLM VLM 41 75 0 21 Nov 2022
Visual Prompting for Adversarial Robustness Aochuan Chen P. Lorenz Yuguang Yao Pin-Yu Chen Sijia Liu VLM VPVLM 38 32 0 12 Oct 2022
Fairness Reprogramming Guanhua Zhang Yihua Zhang Yang Zhang Wenqi Fan Qing Li Sijia Liu Shiyu Chang AAML 83 38 0 21 Sep 2022
Holistic Adversarial Robustness of Deep Learning Models Pin-Yu Chen Sijia Liu AAML 44 16 0 15 Feb 2022
Certified Patch Robustness via Smoothed Vision Transformers Hadi Salman Saachi Jain Eric Wong Aleksander Mkadry AAML 70 58 0 11 Oct 2021
Meta Gradient Adversarial Attack Zheng Yuan Jie Zhang Yunpei Jia Chuanqi Tan Tao Xue Shiguang Shan AAML 49 78 0 09 Aug 2021
Secure and Robust Machine Learning for Healthcare: A Survey A. Qayyum Junaid Qadir Muhammad Bilal Ala I. Al-Fuqaha AAML OOD 45 374 0 21 Jan 2020
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks Guy Katz Clark W. Barrett D. Dill Kyle D. Julian Mykel Kochenderfer AAML 231 1,837 0 03 Feb 2017