Results 61 to 70 of about 4,416 (262)

A Mask-Based Adversarial Defense Scheme

Algorithms, 2022
Adversarial attacks hamper the functionality and accuracy of deep neural networks (DNNs) by meddling with subtle perturbations to their inputs. In this work, we propose a new mask-based adversarial defense scheme (MAD) for DNNs to mitigate the negative ...
Weizhen Xu, Chenyi Zhang, Fangzhen Zhao, Liangda Fang   +3 more
doaj   +1 more source

Adversarial Example Defenses: Ensembles of Weak Defenses are not Strong

CoRR, 2017
Ongoing research has proposed several methods to defend neural networks against adversarial examples, many of which researchers have shown to be ineffective. We ask whether a strong defense can be created by combining multiple (possibly weak) defenses. To answer this question, we study three defenses that follow this approach. Two of these are recently
Warren He, James Wei, Xinyun Chen, Nicholas Carlini, Dawn Song   +4 more
openaire   +4 more sources

Defense-VAE: A Fast and Accurate Defense Against Adversarial Attacks [PDF]

, 2020
Deep neural networks (DNNs) have been enormously successful across a variety of prediction tasks. However, recent research shows that DNNs are particularly vulnerable to adversarial attacks, which poses a serious threat to their applications in security-sensitive systems.
Xiang Li 0080, Shihao Ji 0001
openaire   +2 more sources

‘More than information’: A social listening and platform architecture analysis of online special educational needs and disabilities discourse

British Educational Research Journal, EarlyView.
Abstract Parents of children with special educational needs and disabilities (SEND) increasingly seek information and support through online discussions, yet little is known about how architectural features of digital platforms shape the interactions and support that parents encounter. The paper makes two contributions: First, it develops and applies a
Alan Shaw, Patricia A. Shaw
wiley   +1 more source

Mape: defending against transferable adversarial attacks using multi-source adversarial perturbations elimination

Complex & Intelligent Systems
Neural networks are vulnerable to meticulously crafted adversarial examples, leading to high-confidence misclassifications in image classification tasks. Due to their consistency with regular input patterns and the absence of reliance on the target model
Xinlei Liu, Jichao Xie, Tao Hu, Peng Yi, Yuxiang Hu, Shumin Huo, Zhen Zhang   +6 more
doaj   +1 more source

You Can’t Fool All the Models: Detect Adversarial Samples via Pruning Models

IEEE Access, 2021
Many adversarial attack methods have investigated the security issue of deep learning models. Previous works on detecting adversarial samples show superior in accuracy but consume too much memory and computing resources.
Renxuan Wang, Zuohui Chen, Hui Dong, Qi Xuan   +3 more
doaj   +1 more source

Defensive Dual Masking for Robust Adversarial Defense

Computational Linguistics
Abstract Adversarial defenses for textual data have gained considerable attention in recent years due to the increasing vulnerability of Natural Language Processing (NLP) models to adversarial attacks. These attacks exploit subtle perturbations in input text to deceive models, posing significant challenges to model robustness and ...
Wangli Yang, Jie Yang 0009, Yi Guo 0001, Johan Barthélemy   +3 more
openaire   +3 more sources

Navigating Ethical Minefields: Micro‐Foundations of Corporate Political Work in Ethical and Sustainable Business Performance

Business Strategy and the Environment, EarlyView.
ABSTRACT In an era of rising geopolitical tensions and environmental instability, corporate political activities have become increasingly intertwined with ethical challenges and sustainability requirements. This study investigates the influence of environmental dynamics and corporate ethical responsibility on interorganizational conflict and ...
David Yulong Liu, Justin Zuopeng Zhang, Jimmy Sun, Muhammad Mustafa Kamal, Bhumika Gupta   +4 more
wiley   +1 more source

Care and COVID 19: Lessons for liberals and neoliberals

Child &Family Social Work, EarlyView., 2023
Abstract Within the liberal political traditions, care is regarded as a private matter, a problem of ethics rather than justice. Social justice is framed as an issue of economics (re/distribution), culture (recognition) and/or politics (representation).
Kathleen Lynch
wiley   +1 more source

Beyond the Adversarial Rivalry: A Developmental Rights‐Based Model for Minor‐on‐Minor Crime, Part 1

Behavioral Sciences &the Law, EarlyView.
ABSTRACT When children harm children, the conventional victim–perpetrator framework is ill‐equipped to address the developmental, relational, and institutional complexities involved. While juvenile justice scholarship increasingly emphasizes rehabilitation, and victims' rights literature has advanced child‐sensitive protection, minor‐on‐minor offending
Tali Gal, Ruthy Lowenstein Lazar
wiley   +1 more source