World PulseNow
Newsletter

Protecting the Neural Networks against FGSM Attack Using Machine Unlearning

arXiv — cs.LG•Tuesday, November 4, 2025 at 5:00:00 AM
PositiveArtificial Intelligence
Researchers are making strides in enhancing the security of neural networks against adversarial attacks, specifically the Fast Gradient Sign Method (FGSM). This method, which manipulates input data to deceive models, poses a significant threat to machine learning applications. The innovative approach of 'machine unlearning' allows models to be retrained on original data, effectively countering these attacks. This development is crucial as it not only improves the reliability of predictive models but also boosts confidence in deploying AI systems in sensitive areas.
— Curated by the World Pulse Now AI Editorial System
Read Original

Was this article worth reading? Share it

Recommended Readings
Efficient Neural SDE Training using Wiener-Space Cubature
arXiv — cs.LG14 hours ago
Efficient Neural SDE Training using Wiener-Space Cubature
NeutralArtificial Intelligence
A recent paper on arXiv discusses advancements in training neural stochastic differential equations (SDEs) using Wiener-space cubature methods. This research is significant as it aims to enhance the efficiency of training neural SDEs, which are crucial for modeling complex systems in various fields. By optimizing the parameters of the SDE vector field, the study seeks to improve the computation of gradients, potentially leading to better performance in applications that rely on these mathematical models.
Read full article
via arXiv — cs.LG
DepthVanish: Optimizing Adversarial Interval Structures for Stereo-Depth-Invisible Patches
arXiv — cs.CV14 hours ago
DepthVanish: Optimizing Adversarial Interval Structures for Stereo-Depth-Invisible Patches
PositiveArtificial Intelligence
A recent study on stereo depth estimation highlights the importance of addressing vulnerabilities in autonomous driving and robotics. By exploring adversarial attacks, researchers have found that optimized textures can mislead depth estimation, which is crucial for safety in real-world applications. This research not only sheds light on potential weaknesses but also paves the way for developing more robust systems, ensuring safer navigation for vehicles and robots.
Read full article
via arXiv — cs.CV
Probing Knowledge Holes in Unlearned LLMs
arXiv — cs.LG14 hours ago
Probing Knowledge Holes in Unlearned LLMs
NeutralArtificial Intelligence
A recent study on machine unlearning highlights its effectiveness in removing unwanted knowledge from language models without full retraining. However, researchers have discovered that this process can unintentionally lead to 'knowledge holes,' where benign information is lost. This finding is significant as it raises concerns about the balance between removing harmful content and preserving useful knowledge, prompting further investigation into the implications of unlearning techniques in AI.
Read full article
via arXiv — cs.LG
Feature-Guided Analysis of Neural Networks: A Replication Study
arXiv — cs.LG14 hours ago
Feature-Guided Analysis of Neural Networks: A Replication Study
PositiveArtificial Intelligence
A recent study on Feature-Guided Analysis (FGA) of neural networks highlights its potential in enhancing the interpretability of these complex systems. By focusing on the relevant slices of neural networks, FGA aims to clarify decision-making processes, which is crucial for applications where safety is paramount. The preliminary results are promising, indicating that this approach could significantly improve our understanding of how neural networks operate, making them more reliable for critical tasks.
Read full article
via arXiv — cs.LG
Fixed-point graph convolutional networks against adversarial attacks
arXiv — cs.LG14 hours ago
Fixed-point graph convolutional networks against adversarial attacks
PositiveArtificial Intelligence
A new model called Fix-GCN has been introduced to enhance the resilience of graph neural networks against adversarial attacks. This is significant because adversarial attacks can severely compromise the performance of these networks, especially in applications where the structure and features of graphs are susceptible to manipulation. By effectively capturing higher-order node neighborhood information, Fix-GCN aims to provide a more robust solution, which could lead to improved reliability in various graph-based tasks.
Read full article
via arXiv — cs.LG
Diluting Restricted Boltzmann Machines
arXiv — stat.ML14 hours ago
Diluting Restricted Boltzmann Machines
PositiveArtificial Intelligence
A recent study explores the potential of Restricted Boltzmann Machines (RBMs) as a more efficient alternative to large neural networks in artificial intelligence. By applying extreme pruning techniques inspired by the Lottery Ticket Hypothesis, researchers found that these simpler networks can still deliver impressive generative performance. This is significant as it addresses growing concerns about the computational and environmental costs associated with massive neural networks, suggesting a path forward for sustainable AI development.
Read full article
via arXiv — stat.ML
Casing Collar Identification using AlexNet-based Neural Networks for Depth Measurement in Oil and Gas Wells
arXiv — cs.LG14 hours ago
Casing Collar Identification using AlexNet-based Neural Networks for Depth Measurement in Oil and Gas Wells
PositiveArtificial Intelligence
A recent study highlights the use of AlexNet-based neural networks for improving depth measurement in oil and gas wells. Accurate depth measurement is crucial for optimizing production efficiency and ensuring operational safety. The research focuses on enhancing collar correlation through advanced signal recognition techniques, which could lead to better calibration methods. This development is significant as it addresses existing gaps in preprocessing methods, potentially transforming how depth measurements are conducted in the industry.
Read full article
via arXiv — cs.LG
X-TRACK: Physics-Aware xLSTM for Realistic Vehicle Trajectory Prediction
arXiv — cs.LG14 hours ago
X-TRACK: Physics-Aware xLSTM for Realistic Vehicle Trajectory Prediction
PositiveArtificial Intelligence
The recent introduction of X-TRACK, a physics-aware xLSTM model, marks a significant advancement in vehicle trajectory prediction. This innovative approach leverages improvements in Recurrent Neural Network architectures, particularly the xLSTM, which enhances the ability to model long-term dependencies in time-series data. This development is crucial as it can lead to more accurate predictions in various applications, including autonomous driving and traffic management, ultimately contributing to safer and more efficient transportation systems.
Read full article
via arXiv — cs.LG
Latest from Artificial Intelligence
Source: Anthropic projects revenues of up to $70B in 2028, up from ~$5B in 2025, and expects to become cash flow positive as soon as 2027 (Sri Muppidi/The Information)
Techmemean hour ago
Source: Anthropic projects revenues of up to $70B in 2028, up from ~$5B in 2025, and expects to become cash flow positive as soon as 2027 (Sri Muppidi/The Information)
PositiveArtificial Intelligence
Anthropic is making waves in the tech industry with projections of revenues soaring to $70 billion by 2028, a significant leap from around $5 billion in 2025. This growth is not just impressive on paper; it signals a robust demand for AI technologies and positions Anthropic as a key player in the market. The company also anticipates becoming cash flow positive as early as 2027, which could attract more investors and boost innovation in the AI sector.
Read full article
via Techmeme
UK High Court sides with Stability AI over Getty in copyright case
Engadgetan hour ago
UK High Court sides with Stability AI over Getty in copyright case
PositiveArtificial Intelligence
The UK High Court has ruled in favor of Stability AI in a significant copyright case against Getty Images. This decision is important as it sets a precedent for the use of AI in creative industries, potentially allowing for more innovation and competition in the field of digital content creation. The ruling could reshape how companies utilize AI technologies and their relationship with traditional copyright holders.
Read full article
via Engadget
Sub-Millimeter Heat Pipe Offers Chip-Cooling Potential
EE Timesan hour ago
Sub-Millimeter Heat Pipe Offers Chip-Cooling Potential
PositiveArtificial Intelligence
A new closed-loop fluid arrangement, known as the sub-millimeter heat pipe, has emerged as a promising solution to the ongoing challenge of chip cooling. This innovation could significantly enhance the efficiency of electronic devices, making them more reliable and longer-lasting. As technology continues to advance, effective cooling solutions are crucial for maintaining performance and preventing overheating, which is why this development is particularly exciting for the tech industry.
Read full article
via EE Times
What is Code Refactoring? Tools, Tips, and Best Practices
DEV Communityan hour ago
What is Code Refactoring? Tools, Tips, and Best Practices
PositiveArtificial Intelligence
Code refactoring is an essential practice in software development that involves improving existing code without changing its functionality. It not only enhances code quality but also makes it easier to maintain and understand. This article highlights the importance of refactoring, especially during code reviews, where experienced developers guide less experienced ones to refine their work before it goes live. Embracing refactoring can lead to more elegant and efficient code, ultimately benefiting the entire development process.
Read full article
via DEV Community
The Apple Watch SE 3 just got its first discount - here's where to buy one
ZDNET — Artificial Intelligencean hour ago
The Apple Watch SE 3 just got its first discount - here's where to buy one
PositiveArtificial Intelligence
The Apple Watch SE 3 has just received its first discount, making it an exciting time for potential buyers. With significant improvements over its predecessor, this smartwatch is now available at a 20% discount, offering great value for those looking to upgrade their tech. This discount not only highlights the product's appeal but also encourages more people to experience the latest features of the Apple Watch SE 3.
Read full article
via ZDNET — Artificial Intelligence
Google unveils Project Suncatcher to launch two solar-powered satellites, each with four TPUs, into low Earth orbit in 2027, as it seeks to scale AI compute (Reed Albergotti/Semafor)
Techmemean hour ago
Google unveils Project Suncatcher to launch two solar-powered satellites, each with four TPUs, into low Earth orbit in 2027, as it seeks to scale AI compute (Reed Albergotti/Semafor)
PositiveArtificial Intelligence
Google has announced Project Suncatcher, an ambitious initiative to launch two solar-powered satellites equipped with four TPUs each into low Earth orbit by 2027. This project aims to enhance AI computing capabilities while promoting sustainable energy solutions in space. It represents a significant step towards integrating advanced technology with renewable energy, potentially transforming how data is processed and stored in the future.
Read full article
via Techmeme