219 citations · 709 across the 42 of their papers we have counts for
9 papers · 2 filters
Logits are predictive of network type
Ali Borji
We show that it is possible to predict which deep network has generated a given logit vector with accuracy well above chance. We utilize a number of networks on a dataset, initiali…
Generated Faces in the Wild: Quantitative Comparison of Stable Diffusion, Midjourney and DALL-E 2
Ali Borji
The field of image synthesis has made great strides in the last couple of years. Recent models are capable of generating images with astonishing quality. Fine-grained evaluation of…
How good are deep models in understanding the generated images?
Ali Borji
My goal in this paper is twofold: to study how well deep models can understand the images generated by DALL-E 2 and Midjourney, and to quantitatively evaluate these generative mode…
A New Kind of Adversarial Example
Ali Borji
Almost all adversarial attacks are formulated to add an imperceptible perturbation to an image in order to fool a model. Here, we consider the opposite which is adversarial example…
Is current research on adversarial robustness addressing the right problem?
Ali Borji
Short answer: Yes, Long answer: No! Indeed, research on adversarial robustness has led to invaluable insights helping us understand and explore different aspects of the problem. Ma…
SplitMixer: Fat Trimmed From MLP-like Models
Ali Borji, Sikun Lin
We present SplitMixer, a simple and lightweight isotropic MLP-like architecture, for visual recognition. It contains two types of interleaving convolutional operations to mix infor…