New methods improve model training while protecting user data privacy.
― 6 min read
Cutting edge science explained simply
New methods improve model training while protecting user data privacy.
― 6 min read
This study examines the use of PIM systems to enhance homomorphic encryption performance.
― 5 min read
Scientists link entangled particles over 101 kilometers, pushing quantum network boundaries.
― 5 min read
Adversarial training improves machine learning models' resistance to input manipulation.
― 6 min read
A new method combines TEEs and garbled circuits for better performance in cloud tasks.
― 6 min read
A method called HINT protects machine learning from harmful data attacks.
― 7 min read
A look into the challenges and solutions of Big Data management.
― 6 min read
Testing the strength of NER systems using context-aware adversarial examples.
― 6 min read
JCAS merges communication and radar for enhanced mobile network performance.
― 5 min read
New framework enhances performance of encrypted data processing using GPUs.
― 7 min read
Improving machine learning model security against adversarial attacks through certified robustness.
― 6 min read
A method for creating reliable auditable registers in distributed systems.
― 7 min read
Research reveals vulnerabilities in machine learning models through targeted uncertainty manipulation.
― 6 min read
Research combines language and diffusion models to improve defenses against adversarial attacks.
― 5 min read
A new method detects outages while safeguarding user data.
― 4 min read
Examining how users navigate privacy concerns with LLM-based conversational agents.
― 6 min read
Exploring the potential of quantum technology in enhancing blockchain security and consensus.
― 7 min read
New hybrid circuits improve secure data transmission using entangled photon pairs.
― 5 min read
A look into QUIC's performance enhancements over traditional protocols.
― 4 min read
AgEncID offers a new method for securing FPGA data in cloud environments.
― 6 min read
TbDd framework improves blockchain security and efficiency for IoT applications.
― 7 min read
Examining backdoor attacks and labeling errors in medical AI models.
― 6 min read
Investigating resilient algorithms for testing functions amid data loss challenges.
― 5 min read
Study reveals backdoor attack risks in GNN link prediction tasks.
― 6 min read
Learn how machine unlearning helps protect user privacy by removing data influence.
― 6 min read
A new approach to improve federated learning performance while ensuring data privacy.
― 7 min read
A look at how homomorphic encryption aids gradient descent in data security.
― 6 min read
Using diffusion models to improve detection of adversarial examples in machine learning.
― 5 min read
A look into string constraints and their importance in software systems.
― 6 min read
Introducing a language to enhance the security of confidential computing in the cloud.
― 8 min read
This study introduces WAVES, a benchmark to evaluate watermarking techniques against various attacks.
― 4 min read
Machine unlearning methods are vital for respecting data privacy rights.
― 4 min read
This paper discusses the importance of randomness in cryptographic systems.
― 5 min read
New method enhances neural networks against adversarial attacks using set-based inputs.
― 8 min read
A new method for improving neural networks' resistance to attacks while maintaining performance.
― 5 min read
Learn how interactive coding enhances secure communication between parties.
― 6 min read
Generative AI enhances blockchain security, scalability, and privacy.
― 8 min read
Exploring challenges and solutions for safeguarding smart grids from data attacks.
― 5 min read
Learn about Service Level Agreements and their impact on service quality.
― 5 min read
This work enhances machine unlearning methods for better data privacy and efficiency.
― 5 min read