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Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Challenges and Beneficiations of differential privacy in transfer learning and federated learning
迁移学习 联邦学习 差分隐私
2023/4/13
Differential privacy is one of the most common techniques in privacy-preserving machine learning due to its rigorous math definition and theoretical results. Transfer learning and Federated learning a...
Personal sensing data could help monitor and alleviate stress among resident physicians, although privacy concerns over who sees the information and for what purposes must be addressed, according to c...
Cornell Tech researchers have developed a mechanism for preserving anonymity in encrypted messaging – which conceals message content but might not cloak the sender’s identity – while simultaneously bl...
Surveillance cameras have an identity problem, fueled by an inherent tension between utility and privacy. As these powerful little devices have cropped up seemingly everywhere, the use of machine lear...
Whether you’re using the same old phone, or you received a new smartphone as a holiday gift, the last thing you want to do is put yourself — and your personal information — at risk. Vitaly Shmatikov, ...
A Conditional Privacy Preserving Authentication and Multi Party Group Key Establishment Scheme for Real-Time Application in VANETs
Password Authentication VANET Group-Key generation
2019/9/19
Vehicular Ad-hoc Networks (VANETs) are a cardinal part of intelligent transportation system (ITS) which render various services in terms of traffic and transport management. The VANET is used to manag...
Dynamic Searchable Symmetric Encryption with Forward and Stronger Backward Privacy
Dynamic Searchable Symmetric Encryption Forward Privacy Backward Privacy
2019/9/19
Dynamic Searchable Symmetric Encryption (DSSE) enables a client to perform updates and searches on encrypted data which makes it very useful in practice. To protect DSSE from the leakage of updates (l...
Privacy-preserving auditable token payments in a permissioned blockchain system
cryptographic protocols AML
2019/9/19
Token management systems were the first application of blockchain technology and are still the most widely used one. Early implementations such as Bitcoin or Ethereum provide virtually no privacy beyo...
PrivFL: Practical Privacy-preserving Federated Regressions on High-dimensional Data over Mobile Networks
Privacy-preserving computations Predictive analysis Federated learning
2019/8/30
Federated Learning (FL) enables a large number of users to jointly learn a shared machine learning (ML) model, coordinated by a centralized server, where the data is distributed across multiple device...
Traceable and linkable ring signatures, traceable range proofs and applications on regulatable privacy-preserving blockchains
regulatable blockchain privacy preserving decentralization
2019/8/19
Privacy protection has been extensively studied in the current blockchain research field. As representations, Monero and Zerocash have realized completely anonymous and amount-hiding transactions. How...
Improvements in Everlasting Privacy: Efficient and Secure Zero Knowledge Proofs
Voting Everlasting Privacy Zero Knowledge Proofs
2019/8/8
Verifiable electronic voting promises to ensure the correctness of elections even in the presence of a corrupt authority, while providing strong privacy guarantees. However, few practical systems with...
We design a suite of protocols so that a small tamper-resistant device can be used as a biometric identity document which can be scanned by authorized terminals. We target both strongly secure identif...
Privacy of Stateful RFID Systems with Constant Tag Identifiers
RFID scheme security privacy
2019/7/18
There is a major interest in designing RFID schemes based on symmetric-key cryptography and ensuring efficient tag identification. These requirements taken together often lead to a decrease in the deg...
Securely Sampling Biased Coins with Applications to Differential Privacy
distributed differential privacy secure computation
2019/7/17
We design an efficient method for sampling a large batch of dd independent coins with a given bias p∈[0,1]p∈[0,1]. The folklore secure computation method for doing so requires O(λ+logd)O(λ+logd...
P6V2G: A Privacy-Preserving V2G Scheme for Two-Way Payments and Reputation
Vehicle-to-grid Location Privacy Provable Security
2019/7/15
The number of electric vehicles (EVs) is steadily growing. This provides a promising opportunity for balancing the smart grid of the future, because vehicle-to-grid (V2G) systems can utilize the batte...