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Frequently Asked Questions about Today's Cryptography
Many common questions about cryptography are answered in this May 2000 handbook by RSA Security, Inc. The contents include a basic introduction to cryptography, tools, applications, problems, cryptoanalysis, techniques, real world uses of cryptography ...
core
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley +1 more source
Pairing-Free Certificateless Signature with Security Proof
Wenhao Liu +4 more
doaj +1 more source
Computer-Aided Proof for Extended Generalized Feistel Networks
(Multi-branch) Generalized Feistel Network (GFN) enables the construction of block ciphers from non-linear components with small domains, and has been adopted in various block ciphers. Berger et al. (SAC 2013) introduced the Extended Generalized Feistel
Yuchao Chen +6 more
doaj +1 more source
Cryptography in Computer System Security.
Cryptography in Computer System ...
Chen,Liqun +11 more
openaire +3 more sources
TacScope: A Miniaturized Vision‐Based Tactile Sensor for Surgical Applications
TacScope is a compact, vision‐based tactile sensor designed for robot‐assisted surgery. By leveraging a curved elastomer surface with pressure‐sensitive particle redistribution, it captures high‐resolution 3D tactile feedback. TacScope enables accurate tumor detection and shape classification beneath soft tissue phantoms, offering a scalable, low‐cost ...
Md Rakibul Islam Prince +3 more
wiley +1 more source
Few-shot traffic classification based on autoencoder and deep graph convolutional networks
Traffic classification is a crucial technique in network management that aims to identify and manage data packets to optimize network efficiency, ensure quality of service, enhance network security, and implement policy management. As graph convolutional
Shengwei Xu +4 more
doaj +1 more source
Cryptanalytic Extraction of Neural Networks with Various Activation Functions
Originally introduced as a machine learning problem in 1991, model extraction was explicitly cast as a cryptanalytic challenge at CRYPTO 2020 and has since gained increasing prominence in this context.
Xiaokang Qi +4 more
doaj +1 more source
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
Multimodal Engagement Assessment in Children During Invented Story Paradigm With a Social Robot
A multimodal framework is proposed to assess children's engagement during storytelling interactions with a social robot. Gaze, physiological, and behavioral data are combined and validated against observer ratings. An automated gaze‐labeling strategy is introduced, and supervised classifiers achieve high accuracy. The study supports scalable engagement
Laura Fiorini +7 more
wiley +1 more source

