Towards Interpretable Face Morphing via Unsupervised Learning of Layer‐Wise and Local Features
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Discovering meaningful face morphing is critical for applications in image synthesis. Traditional unsupervised methods rely on global or layer‐wise representations, neglecting finer local details and thus limiting the control over specific facial attributes.
Cheng Yu, Chuan Chen, Wenmin Wang
wiley +1 more source
Robustness of Sparsely Distributed Representations to Adversarial Attacks in Deep Neural Networks. [PDF]
Entropy (Basel), 2023 Sardar N, Khan S, Hintze A, Mehra P.
europepmc +1 more source
MathematicsIn recent years, deep learning has been extensively deployed on unmanned aerial vehicles (UAVs), particularly for object detection. As the cornerstone of UAV-based object detection, deep neural networks are susceptible to adversarial attacks, with ...
Hailong Xi +6 more
doaj +1 more source
StratDef: Strategic defense against adversarial attacks in ML-based malware detection
, 2023 Aqib Rashid, José M. Such
openalex +1 more source
A Black-box Adversarial Attack Strategy with Adjustable Sparsity and Generalizability for Deep Image Classifiers [PDF]
, 2020 Arka Ghosh +5 more
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Challenging Parole Decisions in England and Wales: Reconsideration and Set Aside
The Modern Law Review, EarlyView.Of all the reforms to parole in England and Wales that were introduced after the furore surrounding the 2017 decision to direct the release of the so‐called ‘Black cab rapist’, John Worboys, perhaps the most important was the creation in 2019 of a reconsideration mechanism which obliges the Parole Board (on application) to take a second look at ...
Stephen Shute
wiley +1 more source
EIFDAA: Evaluation of an IDS with function-discarding adversarial attacks in the IIoT. [PDF]
Heliyon, 2023 Li S, Wang J, Wang Y, Zhou G, Zhao Y.
europepmc +1 more source
Adversarial detection based on feature invariant in license plate recognition systems
网络与信息安全学报Deep neural networks have become an integral part of people's daily lives. However, researchers observed that these networks were susceptible to threats from adversarial samples, leading to abnormal behaviors such as misclassification by the network ...
ZHU Xiaoyu +4 more
doaj
Adversarial attacks and adversarial robustness in computational pathology. [PDF]
Nat Commun, 2022 Ghaffari Laleh N +10 more
europepmc +1 more source
Random Transformation of Image Brightness for Adversarial Attack [PDF]
, 2021 Bo Yang +3 more
openalex +1 more source