Tootfinder

A Practical Adversarial Attack against Sequence-based Deep Learning Malware Classifiers
Kai Tan, Dongyang Zhan, Lin Ye, Hongli Zhang, Binxing Fang
https://arxiv.org/abs/2509.11836

A Practical Adversarial Attack against Sequence-based Deep Learning Malware Classifiers
Sequence-based deep learning models (e.g., RNNs), can detect malware by analyzing its behavioral sequences. Meanwhile, these models are susceptible to adversarial attacks. Attackers can create adversarial samples that alter the sequence characteristics of behavior sequences to deceive malware classifiers. The existing methods for generating adversarial samples typically involve deleting or replacing crucial behaviors in the original data sequences, or inserting benign behaviors that may violate…

On The Road - To Xi’An/ Signs 💚
在路上 - 去西安/ 表象 💚
📷 Pentax MX
🎞️Fujifilm Neopan F, expired 1993
#filmphotography #Photography #blackandwhite

Cuban-born biotech honcho enters NYC mayoral race seeking to upset Mamdani: 'I despise socialism' (Rich Calder/New York Post)
https://nypost.com/2025/08/16/us-news/cuban-born-biotech-honcho-enters-crowded-nyc-mayoral-race-seeking-to-upset-mamdani-i-hate-socialism/
http://www.memeorandum.com/250816/p70#a250816p70

Cowboys showed few signs of improvement in loss to Ravens https://insidethestar.com/cowboys-showed-few-signs-of-improvement-in-loss-to-ravens

Szczecinecka fabryka chmur na pełnych obrotach.
#Szczecinek

Computable Folner sequences of amenable groups
Karol Duda, Aleksander Ivanov
https://arxiv.org/abs/2509.11806 https://arxiv.org/pdf/2509.11806

Computable Folner sequences of amenable groups
The paper considers computable Folner sequences in computably enumerable amenable groups. We extend some basic results of M. Cavaleri on existence of such sequences to the case of groups where finite generation is not assumed. We also initiate some new directions in this topic, for example complexity of families of effective Folner sequences. Possible extensions of this approach to metric groups are also discussed. This paper also contains some unpublished results from the paper of the first …

A team of scientists discovered a hidden antibiotic 100 times stronger than existing drugs against deadly superbugs like MRSA.
The molecule had been overlooked for decades in a familiar bacterium.
It shows no signs of resistance so far, offering hope in the fight against drug-resistant infections and paving the way for new approaches to antibiotic discovery.

Scientists find hidden antibiotic 100x stronger against deadly superbugs
A team of scientists discovered a hidden antibiotic 100 times stronger than existing drugs against deadly superbugs like MRSA. The molecule had been overlooked for decades in a familiar bacterium. It shows no signs of resistance so far, offering hope in the fight against drug-resistant infections and paving the way for new approaches to antibiotic discovery.

Apple verliert nun auch KI-Suchechef – erneut an Meta
Das Apple-Intelligence-Team verliert zum wiederholten Male einen zentralen Mitarbeiter. Jetzt geht ein Mann, der für Apple eine KI-Suchmaschine aufbauen sollte.
http…

Learning to Generate 4D LiDAR Sequences
Ao Liang, Youquan Liu, Yu Yang, Dongyue Lu, Linfeng Li, Lingdong Kong, Huaici Zhao, Wei Tsang Ooi
https://arxiv.org/abs/2509.11959 https:…

Learning to Generate 4D LiDAR Sequences
While generative world models have advanced video and occupancy-based data synthesis, LiDAR generation remains underexplored despite its importance for accurate 3D perception. Extending generation to 4D LiDAR data introduces challenges in controllability, temporal stability, and evaluation. We present LiDARCrafter, a unified framework that converts free-form language into editable LiDAR sequences. Instructions are parsed into ego-centric scene graphs, which a tri-branch diffusion model transfor…