Tootfinder

Evaluating the Impact of Adversarial Attacks on Traffic Sign Classification using the LISA Dataset
Nabeyou Tadessa, Balaji Iyangar, Mashrur Chowdhury
https://arxiv.org/abs/2509.06835

Evaluating the Impact of Adversarial Attacks on Traffic Sign Classification using the LISA Dataset
Adversarial attacks pose significant threats to machine learning models by introducing carefully crafted perturbations that cause misclassification. While prior work has primarily focused on MNIST and similar datasets, this paper investigates the vulnerability of traffic sign classifiers using the LISA Traffic Sign dataset. We train a convolutional neural network to classify 47 different traffic signs and evaluate its robustness against Fast Gradient Sign Method (FGSM) and Projected Gradient De…

The #citibank #singapore website is an absolute goldmine of #uxfail.
Want to login? Scan a QR code with the app.. Then enter an OTP code sent via SMS (because that's secure). Now you…

Tiga: Accelerating Geo-Distributed Transactions with Synchronized Clocks [Technical Report]
Jinkun Geng, Shuai Mu, Anirudh Sivaraman, Balaji Prabhakar
https://arxiv.org/abs/2509.05759

Tiga: Accelerating Geo-Distributed Transactions with Synchronized Clocks [Technical Report]
This paper presents Tiga, a new design for geo-replicated and scalable transactional databases such as Google Spanner. Tiga aims to commit transactions within 1 wide-area roundtrip time, or 1 WRTT, for a wide range of scenarios, while maintaining high throughput with minimal computational overhead. Tiga consolidates concurrency control and consensus, completing both strictly serializable execution and consistent replication in a single round. It uses synchronized clocks to proactively order tra…

Exploiting Phase Light Modulators for Low-SWaP Real-time Wavefront Correction at High-Resolution
John M. Bass, Jeffrey Y. Chen, Gregory M. Nero, Vijay Nafria, Youngsik Kim, Ivan B. Djordjevic, Yushi Kaneda, Thomas L. Koch, Muralidhar M. Balaji, Yuzuru Takashima, Florian Willomitzer
https://arxiv.org/abs/2509.05896

Exploiting Phase Light Modulators for Low-SWaP Real-time Wavefront Correction at High-Resolution
Wavefront correction and beam tracking are critical in applications such as long-range imaging through turbulence and free-space optical communication. For instance, adaptive optics systems are employed to correct wavefront distortions caused by atmospheric turbulence and optical misalignments, while beam tracking systems maintain alignment between separate devices in free-space communication scenarios. Current state-of-the-art approaches offer several high-performance solutions, each tailored …

A Survey of LLM-Based Applications in Programming Education: Balancing Automation and Human Oversight
Griffin Pitts, Anurata Prabha Hridi, Arun-Balajiee Lekshmi-Narayanan
https://arxiv.org/abs/2510.03719

A Survey of LLM-Based Applications in Programming Education: Balancing Automation and Human Oversight
Novice programmers benefit from timely, personalized support that addresses individual learning gaps, yet the availability of instructors and teaching assistants is inherently limited. Large language models (LLMs) present opportunities to scale such support, though their effectiveness depends on how well technical capabilities are aligned with pedagogical goals. This survey synthesizes recent work on LLM applications in programming education across three focal areas: formative code feedback, as…

Blackish Holes with Stringy Backreaction
Elena C\'aceres, Suman Das, Arnab Kundu, Harita Palani Balaji
https://arxiv.org/abs/2510.03498 https://arxiv.o…

Blackish Holes with Stringy Backreaction
Recent studies have demonstrated that an $\textit{ad hoc}$ Dirichlet boundary condition, placed outside but close to an event horizon, for probe degrees of freedom in an otherwise black hole geometry is capable of capturing non-trivial level-correlations of the corresponding spectrum of the probe sector. Much of the interesting physics stems from a hierarchy of scales that is present in the quantum spectrum, in terms of two quantum numbers that characterize it. In this work, we establish an exp…

Towards Fast Option Pricing PDE Solvers Powered by PIELM
Akshay Govind Srinivasan, Anuj Jagannath Said, Sathwik Pentela, Vikas Dwivedi, Balaji Srinivasan
https://arxiv.org/abs/2510.04322

Towards Fast Option Pricing PDE Solvers Powered by PIELM
Partial differential equation (PDE) solvers underpin modern quantitative finance, governing option pricing and risk evaluation. Physics-Informed Neural Networks (PINNs) have emerged as a promising approach for solving the forward and inverse problems of partial differential equations (PDEs) using deep learning. However they remain computationally expensive due to their iterative gradient descent based optimization and scale poorly with increasing model size. This paper introduces Physics-Inform…

Deep vs. Shallow: Benchmarking Physics-Informed Neural Architectures on the Biharmonic Equation
Akshay Govind Srinivasan, Vikas Dwivedi, Balaji Srinivasan
https://arxiv.org/abs/2510.04490

Deep vs. Shallow: Benchmarking Physics-Informed Neural Architectures on the Biharmonic Equation
Partial differential equation (PDE) solvers are fundamental to engineering simulation. Classical mesh-based approaches (finite difference/volume/element) are fast and accurate on high-quality meshes but struggle with higher-order operators and complex, hard-to-mesh geometries. Recently developed physics-informed neural networks (PINNs) and their variants are mesh-free and flexible, yet compute-intensive and often less accurate. This paper systematically benchmarks RBF-PIELM, a rapid PINN varian…

A Recall-First CNN for Sleep Apnea Screening from Snoring Audio
Anushka Mallick, Afiya Noorain, Ashwin Menon, Ashita Solanki, Keertan Balaji
https://arxiv.org/abs/2510.00052 htt…

A Recall-First CNN for Sleep Apnea Screening from Snoring Audio
Sleep apnea is a serious sleep-related breathing disorder that is common and can impact health if left untreated. Currently the traditional method for screening and diagnosis is overnight polysomnography. Polysomnography is expensive and takes a lot of time, and is not practical for screening large groups of people. In this paper, we explored a more accessible option, using respiratory audio recordings to spot signs of apnea.We utilized 18 audio files.The approach involved converting breathing …

On vacation in Australia and out on a road trip to the Blue Mountains. Sadly the weather gods did not cooperate and it's been raining and foggy the whole day. So just hibernating in our Airbnb and hoping that tomorrow's weather forecast of cloudy but dry does hold.