Enhancing Transformation-based Defenses Against Adversarial Attacks with a Distribution Classifier

Enhancing Transformation-based Defenses Against Adversarial Attacks with a Distribution Classifier

International Conference on Learning Representations

Saved in:

書目詳細資料
Main Authors:	Kou, CKL, Lee, HK, Chang, EC, Ng, TK
其他作者:	DEPARTMENT OF COMPUTER SCIENCE
格式:	Conference or Workshop Item
出版:	2021
在線閱讀:	https://scholarbank.nus.edu.sg/handle/10635/191852
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	National University of Singapore

相似書籍

Adversarial attacks and defenses for visual signals
由: Cheng, Yupeng
出版: (2023)

Adversarial attack defenses for neural networks
由: Puah, Yi Hao
出版: (2024)

Adversarial attacks and defenses in natural language processing
由: Dong, Xinshuai
出版: (2022)

Attack as defense: Characterizing adversarial examples using robustness
由: ZHAO, Zhe, et al.
出版: (2021)

Review of adversarial attacks and defenses on edge machine learning
由: Chua, Jim Sean
出版: (2024)

Approximate Manifold Defense Against Multiple Adversarial Perturbations
由: JAY NANDY, et al.
出版: (2020)

AVA: Adversarial Vignetting Attack against visual recognition
由: TIAN, Binyu, et al.
出版: (2021)

Evaluation of adversarial attacks against deep learning models
由: Ta, Anh Duc
出版: (2022)

Evaluation of adversarial attacks against deep learning models
由: Lam, Sabrina Jing Wen
出版: (2023)

A study of adversarial attacks against malware detection
由: Neo, Berlynn Rui Xuan
出版: (2023)

Evaluation of adversarial attacks against deep learning models
由: Chua, Jonathan Wen Rong
出版: (2023)

Evaluation of adversarial attacks against deep learning models
由: Chua, Wenjun
出版: (2024)

Defense on unrestricted adversarial examples
由: Sim, Chee Xian
出版: (2023)

Adversarial attacks against network intrusion detection in IoT systems
由: Qiu, Han, et al.
出版: (2022)

Stealthy and efficient adversarial attacks against deep reinforcement learning
由: SUN, Jianwen, et al.
出版: (2020)

Moving target defense for embedded deep visual sensing against adversarial examples
由: Song, Qun, et al.
出版: (2020)

Enhanced PPM approach for defense of distributed denial of service attack in cloud computing security
由: Xiao, Bo
出版: (2013)

Diffense: defense against backdoor attacks on deep neural networks with latent diffusion
由: Hu, Bowen, et al.
出版: (2025)

Membership Inference Attacks Against Adversarially Robust Deep Learning Models
由: Liwei Song, et al.
出版: (2020)

Universal adversarial attacks on graph neural networks
由: Liao, Chang
出版: (2021)

Adversarial attacks on deep learning
由: Yee, An Qi
出版: (2023)

DEFENSE STRATEGIES AGAINST FALSE DATA INJECTION ATTACKS IN THE SMART GRID
由: SIU JUN YEN
出版: (2023)

URBAN RESILIENCE: RETHINKING URBAN DESIGN FOR DEFENSIBILITY AGAINST TERRORIST ATTACKS
由: TAN GUAN ZHONG DANIEL
出版: (2015)

Regret-based defense in adversarial reinforcement learning
由: BELAIRE, Roman, et al.
出版: (2024)

Enhancing robustness of point cloud semantic segmentation against adversarial attacks using silhouette coefficient regularized neural ODEs
由: Hong, Jianxiong
出版: (2025)

Stable neural ODE with Lyapunov-stable equilibrium points for defending against adversarial attacks
由: Kang, Qiyu, et al.
出版: (2023)

Analysis of blockchain protocol against static adversarial miners corrupted by long delay attackers
由: YUAN, Quan, et al.
出版: (2020)

Demystifying adversarial attacks on neural networks
由: Yip, Lionell En Zhi
出版: (2020)

Adversarial attack defences for neural network
由: Singh Kirath
出版: (2022)

ROPSentry : runtime defense against ROP attacks using hardware performance counters
由: Das, Sanjeev, et al.
出版: (2020)

Brief announcement: Toward an optimal social network defense against Sybil attacks
由: Yu, H., et al.
出版: (2013)

Developing AI attacks/defenses
由: Pang, Malcolm Qing Han
出版: (2022)

Developing AI attacks/defenses
由: Goh, Zheng Hui
出版: (2023)

Developing AI attacks/defenses
由: Lim, Noel Wee Tat
出版: (2023)

Distributed secure cooperative control under denial-of-service attacks from multiple adversaries
由: Xu, Wenying, et al.
出版: (2022)

Towards robust rain removal against adversarial attacks: a comprehensive benchmark analysis and beyond
由: Yu, Yi, et al.
出版: (2022)

Attack as detection: Using adversarial attack methods to detect abnormal examples
由: ZHAO, Zhe, et al.
出版: (2024)

Analysis of moving target defense against false data injection attacks on power grid
由: Zhang, Z., et al.
出版: (2021)

SybilLimit: A near-optimal social network defense against sybil attacks
由: Yu, H., et al.
出版: (2013)

oo7: Low-overhead Defense against Spectre Attacks via Binary Analysis.
由: Wang, Guanhua, et al.
出版: (2023)