activity
20192025
most citedAdversarial Attacks on Machine Learning Systems for High-Frequency Trading

25 citations · 35 across the 5 of their papers we have counts for

collaborators

7 papers

econ.TH2025

Rethinking Beta: A Causal Take on CAPM

Naftali Cohen

The CAPM regression is typically interpreted as if the market return contemporaneously \emph{causes} individual returns, motivating beta-neutral portfolios and factor attribution.…

cs.CV2021

Visual Time Series Forecasting: An Image-driven Approach

Naftali Cohen, Srijan Sood, Zhen Zeng +2

In this work, we address time-series forecasting as a computer vision task. We capture input data as an image and train a model to produce the subsequent image. This approach resul…

cs.CV2020★ 7 cited

Visual Time Series Forecasting: An Image-driven Approach

Srijan Sood, Zhen Zeng, Naftali Cohen +2

Time series forecasting is essential for agents to make decisions. Traditional approaches rely on statistical methods to forecast given past numeric values. In practice, end-users…

econ.EM2020

What can be learned from satisfaction assessments?

Naftali Cohen, Simran Lamba, Prashant Reddy

Companies survey their customers to measure their satisfaction levels with the company and its services. The received responses are crucial as they allow companies to assess their…

cs.LG2020★ 25 cited

Adversarial Attacks on Machine Learning Systems for High-Frequency Trading

Micah Goldblum, Avi Schwarzschild, Ankit B. Patel +1

Algorithmic trading systems are often completely automated, and deep learning is increasingly receiving attention in this domain. Nonetheless, little is known about the robustness…

cs.CV2019★ 3 cited

The Effect of Visual Design in Image Classification

Naftali Cohen, Tucker Balch, Manuela Veloso

Financial companies continuously analyze the state of the markets to rethink and adjust their investment strategies. While the analysis is done on the digital form of data, decisio…

cs.CV2019

Trading via Image Classification

Naftali Cohen, Tucker Balch, Manuela Veloso

The art of systematic financial trading evolved with an array of approaches, ranging from simple strategies to complex algorithms all relying, primary, on aspects of time-series an…