N Akhtar

Researcher

[Ajmal Saeed Mian @AjmalSaeedMian]

Manipulating text-to-image models to push advertising in outputs : r/datascience https://t.co/fgZNlDVk98

[N Akhtar @navid915]

@MattNiessner ArXived submissions are in violation of double blind policy. This heavily hurts small groups, especially when ACs have to assign papers to inexperienced reviewers. 'top' conferences should consider single blind arXiv-ed track with it's own parameters.

[Rohit Gupta @rohitgUCF]

Pleased to announce that I will presenting 'Contrastive Self-Supervised Learning Leads to Higher Adversarial Susceptibility' at AAAI this Friday.

#AAAI23 @RealAAAI

[Sundar Pichai @sundarpichai]

1/ In 2021, we shared next-gen language + conversation capabilities powered by our Language Model for Dialogue Applications (LaMDA). Coming soon: Bard, a new experimental conversational #GoogleAI service powered by LaMDA.
https://t.co/cYo6iYdmQ1

[N Akhtar @navid915]

An accessible short survey of #XAI in deep visual modeling (methods and metrics). https://t.co/Nsam4OokGW

[N Akhtar @navid915]

@babarshabbir @arc_gov_au Thanks

[N Akhtar @navid915]

Excited to be awarded #DECRA. Grateful to @arc_gov_au for the award. Thanks to the assessors and CoE for showing their confidence in the project. Looking forward to bringing some transparency to AI in the vision domain.

[N Akhtar @navid915]

@ARC_Tracker What percentage of funded DECRAs usually get NIT picked? Any idea?

[N Akhtar @navid915]

@eccvconf All violent invasions, at any time, of any land are unworthy. Such a geopolitically constrained selective statement doesn't represent the CV community.

[Mubarak Shah @ucfmshah]

Check out our WACV-2022 paper on computing transferable 3D adversarial textures that are also invariant to camera viewpoint and lighting conditions. We use differentiable neural rendering to provide control over end-to-end computed textures.
https://t.co/JoxRTSgQrl

[Camilo Pestana @capcarde]

This week we will be presenting our latest paper "Transferable 3D Adversarial Textures Using End-to-End Optimization" at WACV 2022. Open access version: https://t.co/HQFXfwH2xv

[Mubarak Shah @ucfmshah]

Check out new paper:
Geometric Feature Learning for 3D Meshes
https://t.co/kV7QLwam9t
We contribute a novel hierarchical neural network, PicassoNet-II, to learn highly discriminative features from 3D meshes. PicassoNet-II accepts primitive geometrics and fine textures of mesh.

[N Akhtar @navid915]

A follow up on the first-ever peer-reviewed survey of adversarial attacks and defences. This article covers recent advances, focusing on research published in the leading sources.
https://t.co/Jwgd8Oav43

[N Akhtar @navid915]

@KhanSalmanH Congratulations to both!

[N Akhtar @navid915]

Adversarial attacks on deep learning in computer vision - a comprehensive literature review @ResearchGate: https://t.co/wUkdaqM2n6
#DeepLearning #AdversarialExamples #survey