他日关税重重
发表于 2025-3-28 16:37:48
Towards Isolated AI Accelerators with OP-TEE on SoC-FPGAsly to various accelerators. This paper proposes an isolated execution method of AI accelerators using OP-TEE, an open-source Trusted Execution Environment (TEE) implementing the Arm TrustZone technology. The contribution is to analyze the security threats of AI accelerators, propose the countermeasu
ACE-inhibitor
发表于 2025-3-28 20:04:48
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沉积物
发表于 2025-3-29 02:57:40
Output Prediction Attacks on Block Ciphers Using Deep Learningks can be successful, (2) our attacks realize output predictions (precisely ciphertext prediction and plaintext recovery) that are much stronger than distinguishing attacks, and (3) swapping or replacing the internal components of the target block ciphers affects the average success probabilities of
铁砧
发表于 2025-3-29 05:40:48
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伪书
发表于 2025-3-29 08:58:27
0302-9743 loud S&P: 4th ACNS Workshop on Cloud Security and Privacy.– SCI: 3rd ACNS Workshop on Secure Cryptographic Implementation.– SecMT: 3rd ACNS Workshop on Security in Mobile Technologies.– SiMLA: 4th ACNS Workshop on Security in Machine Learning and its Applications.978-3-031-16814-7978-3-031-16815-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
Aesthete
发表于 2025-3-29 14:23:15
Early Modern Literature in History is easy to deploy in the real world. It can use a single universal background image to attack different classes of target objects simultaneously and has good robustness under different angles and distances. Extensive experiments have shown that the universal background attack can successfully attac
mutineer
发表于 2025-3-29 16:33:45
Teresa Grant,Barbara Ravelhoferntly ensures the correctness and completeness of Boolean range queries for blockchain light clients. Secondly, we provide a tunable trade-off between query time and communication overhead by autonomously setting the fanout size of the PCB-tree. Moreover, our scheme can support batch processing to re
BLANC
发表于 2025-3-29 23:46:36
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错
发表于 2025-3-30 02:32:50
Selected Holders of Major Public Office,act of model uncertainty on uncertainty sampling in active learning. During the backward process, we clean up the noise in the labeled dataset to reduce the negative influence on the classification model. We evaluate . on 8 vulnerabilities about 4929 smart contracts with four performance indicators.
Debark
发表于 2025-3-30 04:51:23
Selected Holders of Major Public Office,mputing resources. The evaluation results show that, our CWN-MADRL algorithm can converge quickly, learn effective task recommendation strategies, and achieve better system performance compared with other benchmark algorithms.