Results 191 to 200 of about 25,829 (292)

Robustness Against Adversarial Attacks via Learning Confined Adversarial Polytopes

Deep neural networks (DNNs) could be deceived by generating human-imperceptible perturbations of clean samples. Therefore, enhancing the robustness of DNNs against adversarial attacks is a crucial task.
Ye, Linfeng, Hamidi, Shayan Mohajer
core  

A Business Strategy or Compliance? Review of the Environmental, Social and Governance (ESG) Landscape

Business Strategy and the Environment, EarlyView.
ABSTRACT Environmental, social and governance (ESG) factors have gained significant prominence within the corporate landscape, becoming essential to the sustainability and success of modern business models. Companies are increasingly required to integrate sustainable and responsible practices into their daily operations to meet stakeholder expectations
Roberto Cerchione, Viviana Sicardi
wiley   +1 more source

Applying the Rules of Evidence to Expert Testimony About Risk

Behavioral Sciences &the Law, EarlyView.
ABSTRACT Expert opinion about dangerousness or risk is common at sentencing, criminal commitment proceedings and some types of pretrial detention hearings. This article argues that such evidence must be (1) “material” (logically relevant, empirically generalizable, and epistemologically germane), (2) “probative” (a measure of accuracy, which is ...
Christopher Slobogin
wiley   +1 more source

Beyond the Adversarial Rivalry: A Developmental Rights‐Based Model for Minor‐on‐Minor Crime, Part 2

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 protections, minor‐on‐minor ...
Tali Gal, Ruthy Lowenstein Lazar
wiley   +1 more source

Structure‐Function Tailoring of Plasmonic Nanomaterials for Thin‐Film Photovoltaics

Carbon Energy, EarlyView.
This review discusses the mechanisms and recent advancements of plasmonics in achieving effective light management to enhance the performance of thin‐film solar cells. It highlights applications in high‐performance perovskite solar cells and future‐oriented tandem solar cells.
Sen Jiang, Wenhan Yang, Annan Zhu, Yuexin Lin, Zhaohui Xie, Ran Chen, Wenjing Zhu, Jin Liu, Yingjie Zhu, Wenye Jiang, Zhiyuan Gu, Kaiyang Wang, Shengchun Yang, Nan Zhang, Chao Liang   +14 more
wiley   +1 more source

Adversarial robustness of artificial intelligence

European Journal of Applied Mathematics
Leon Bungert, Desmond J. Higham, Laura Thesing   +2 more
doaj   +1 more source

Adversarial robustness of LLM-based multi-agent systems for engineering problems. [PDF]

Front Artif Intell
Wiesmeier L, Busch M, Tacke M, Linka K, Cyron C, Aydin R.   +5 more
europepmc   +1 more source

Artificial intelligence in enzyme catalysis: Emerging trends and applications in biocatalyst engineering

The Canadian Journal of Chemical Engineering, EarlyView.
Schematic representation of artificial intelligence approaches in enzyme catalysis, integrating bibliometric analysis, emerging research trends, and machine learning tools for enzyme design, prediction, and industrial biocatalytic applications. Abstract This study systematically explores the applications of artificial intelligence (AI) in enzyme ...
Misael Bessa Sales, Francisco Izaias da Silva Aires, Paulo Gonçalves de Sousa Junior, Calebe Da Rocha Silva, Emanuel Lino Rodrigues, Maria Cristiane Martins de Souza, José C. S. dos Santos   +6 more
wiley   +1 more source

Toward Adversarial Robustness Network Intrusion Detection Based on Multi-Model Ensemble Approach. [PDF]

Sensors (Basel)
Le TT, Cho J, Shin D, Kim H.
europepmc   +1 more source

A Study of Techniques for Robustness to Out-of-Distribution Examples

Deep neural networks have achieved remarkable success and human-level performance in many tasks and yet, behave unpredictably when input examples are not guaranteed to be similar to the train distribution.
Shama Sastry, Chandramouli
core