Security, privacy, and applied crypt...
SPACE (Conference : Applied cryptography engineering) (2024 :)

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  • Security, privacy, and applied cryptography engineering = 14th International Conference, SPACE 2024, Kottayam, India, December 14-17, 2024 : proceedings /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Security, privacy, and applied cryptography engineering/ edited by Johann Knechtel, Urbi Chatterjee, Domenic Forte.
    Reminder of title: 14th International Conference, SPACE 2024, Kottayam, India, December 14-17, 2024 : proceedings /
    remainder title: SPACE 2024
    other author: Knechtel, Johann.
    corporate name: SPACE (Conference : Applied cryptography engineering)
    Published: Cham :Springer Nature Switzerland : : 2025.,
    Description: x, 318 p. :ill. (chiefly color), digital ;24 cm.
    [NT 15003449]: Attacks and Countermeasures for Digital Microfluidic Biochips. -- SideLink: Exposing NVLink to Covert- and Side-Channel Attacks. -- Faster and more Energy-Efficient Equation Solvers over GF(2). -- Transferability of Evasion Attacks Against FHE Encrypted Inference. -- Security Analysis of ASCON Cipher under Persistent Faults. -- Privacy-Preserving Graph-Based Machine Learning with Fully Homomorphic Encryption for Collaborative Anti-Money Laundering. -- CoPrIME: Complete Process Isolation using Memory Encryption. -- Online Testing Entropy and Entropy Tests with a Two State Markov Model. -- DLShield: A Defense Approach against Dirty Label Attacks in Heterogeneous Federated Learning. -- Benchmarking Backdoor Attacks on Graph Convolution Neural Networks: A Comprehensive Analysis of Poisoning Techniques. -- Spatiotemporal Intrusion Detection Systems for IoT Networks. -- High Speed High Assurance implementations of Mutivariate Quadratic based Signatures. -- "There's always another counter": Detecting Micro-architectural Attacks in a Probabilistically Interleaved Malicious/Benign Setting. -- FPGA-Based Acceleration of Homomorphic Convolution with Plaintext Kernels. -- Post-Quantum Multi-Client Conjunctive Searchable Symmetric Encryption from Isogenies. -- BlockDoor: Blocking Backdoor Based Watermarks in Deep Neural Networks. -- Adversarial Malware Detection. -- ML based Improved Differential Distinguisher with High Accuracy: Application to GIFT-128 and ASCON.
    Contained By: Springer Nature eBook
    Subject: Data encryption (Computer science) - Congresses. -
    Online resource: https://doi.org/10.1007/978-3-031-80408-3
    ISBN: 9783031804083
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