Communication-Efficient Publication of Sparse Vectors under Differential Privacy

Whitepaper called Communication-Efficient Publication Of Sparse Vectors Under Differential Privacy...

HE-LRM: Encrypted Deep Learning Recommendation Models Using Fully Homomorphic Encryption

Fully Homomorphic Encryption FHE is an encryption scheme that not only encrypts data but also allows for computations to be applied directly on the encrypted data. While computationally expensive, FHE can enable privacy-preserving neural inference in the client-server setting: a client encrypts...

Deserialization of Untrusted Data

Overview Affected versions of this package are vulnerable to Deserialization of Untrusted Data via the read method of the SparseMatrix class. An attacker can execute arbitrary code or escalate privileges by providing a crafted serialized object to be deserialized. Note: This is only exploitable i...

DEBIAN-CVE-2022-50091

In the Linux kernel, the following vulnerability has been resolved: locking/csdlock: Change csdlockdebug from earlyparam to setup The csdlockdebug kernel-boot parameter is parsed by the earlyparam function csdlockdebug. If set, csdlockdebug invokes staticbranchenable to enable csdlockwait feature...

UBUNTU-CVE-2022-50091

In the Linux kernel, the following vulnerability has been resolved: locking/csdlock: Change csdlockdebug from earlyparam to setup The csdlockdebug kernel-boot parameter is parsed by the earlyparam function csdlockdebug. If set, csdlockdebug invokes staticbranchenable to enable csdlockwait feature...

Astra Linux – Vulnerability in Linux 6.1

In the Linux kernel, the following vulnerability has been resolved: sched: schcake: bounds checks were added to the host bulk flow fairness counts. Although we fixed a logic error in the commit cited below, the syzbot still managed to cause an underflow in the per-host bulk flow counters, resulti...

FicGCN: Unveiling the Homomorphic Encryption Efficiency from Irregular Graph Convolutional Networks

Graph Convolutional Neural Networks GCNs have gained widespread popularity in various fields like personal healthcare and financial systems, due to their remarkable performance. Despite the growing demand for cloud-based GCN services, privacy concerns over sensitive graph data remain significant...

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding

Federated recommender system FedRec has emerged as a solution to protect user data through collaborative training techniques. A typical FedRec involves transmitting the full model and entire weight updates between edge devices and the server, causing significant burdens to devices with limited...

Differentially Private Sparse Linear Regression with Heavy-Tailed Responses

As a fundamental problem in machine learning and differential privacy DP, DP linear regression has been extensively studied. However, most existing methods focus primarily on either regular data distributions or low-dimensional cases with irregular data. To address these limitations, this paper...

Malicious code in checkout-sparse (npm)

--- -= Per source details. Do not edit below this line.=- Source: ghsa-malware 7f5576b93b0dbfc8f72fa10da0b8b43e6ba0e801c71d51807996063ee1f73f84 Any computer that has this package installed or running should be considered fully compromised. All secrets and keys stored on that computer should be...

MAL-2025-4667 Malicious code in checkout-sparse (npm)

--- -= Per source details. Do not edit below this line.=- Source: ghsa-malware 7f5576b93b0dbfc8f72fa10da0b8b43e6ba0e801c71d51807996063ee1f73f84 Any computer that has this package installed or running should be considered fully compromised. All secrets and keys stored on that computer should be...

Weak-Jamming Detection in IEEE 802.11 Networks: Techniques, Scenarios and Mobility

State-of-the-art solutions detect jamming attacks ex-post, i.e., only when jamming has already disrupted the wireless communication link. In many scenarios, e.g., mobile networks or static deployments distributed over a large geographical area, it is often desired to detect jamming at the early...

CVE-2022-29206

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of tf.rawops.SparseTensorDenseAdd does not fully validate the input arguments. In this case, a reference gets bound to a nullptr during kernel execution. This is...

CVE-2021-29545

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a denial of service via a CHECK-fail in converting sparse tensors to CSR Sparse matrices. This is because the...

GSDFuse: Capturing Cognitive Inconsistencies from Multi-Dimensional Weak Signals in Social Media Steganalysis

The ubiquity of social media platforms facilitates malicious linguistic steganography, posing significant security risks. Steganalysis is profoundly hindered by the challenge of identifying subtle cognitive inconsistencies arising from textual fragmentation and complex dialogue structures, and th...

Adversarially Robust Spiking Neural Networks with Sparse Connectivity

Deployment of deep neural networks in resource-constrained embedded systems requires innovative algorithmic solutions to facilitate their energy and memory efficiency. To further ensure the reliability of these systems against malicious actors, recent works have extensively studied adversarial...

Remote Rowhammer Attack Using Adversarial Observations on Federated Learning Clients

Federated Learning FL has the potential for simultaneous global learning amongst a large number of parallel agents, enabling emerging AI such as LLMs to be trained across demographically diverse data. Central to this being efficient is the ability for FL to perform sparse gradient updates and...

Enhanced Outsourced and Secure Inference for Tall Sparse Decision Trees

A decision tree is an easy-to-understand tool that has been widely used for classification tasks. On the one hand, due to privacy concerns, there has been an urgent need to create privacy-preserving classifiers that conceal the user's input from the classifier. On the other hand, with the rise of...

Cluster-Aware Attacks on Graph Watermarks

Data from domains such as social networks, healthcare, finance, and cybersecurity can be represented as graph-structured information. Given the sensitive nature of this data and their frequent distribution among collaborators, ensuring secure and attributable sharing is essential. Graph...

Astra Linux – Vulnerability in Linux 6.1

In the Linux kernel, the following vulnerability has been resolved: ipvs: Properly dereferencing pe in ipvsaddservice. Use pe directly to resolve the sparse warning: net/netfilter/ipvs/ipvsctl.c:1471:27: warning: dereference of noderef expression...