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adversarial attacks

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AntTech
AntTech
Dec 5, 2022 · Artificial Intelligence

Four AAAI‑23 Papers from Ant Security Lab on Adversarial 3D Point Clouds, GNN‑Based Anti‑Money Laundering, Spiking Neural Network Dynamic Graph Learning, and Differential‑Private Adaptive Clipping

Ant Security Lab reports four AAAI‑23 accepted papers that introduce PF‑Attack for transferable 3D adversarial point clouds, AMAP a GNN‑driven anti‑money‑laundering framework, SpikeNet a spiking‑neural‑network approach for efficient dynamic graph representation, and DP‑PSAC a per‑sample adaptive clipping method for differential privacy, each with experimental validation and expert commentary.

AAAI-23Graph Neural Networksadversarial attacks
0 likes · 18 min read
Four AAAI‑23 Papers from Ant Security Lab on Adversarial 3D Point Clouds, GNN‑Based Anti‑Money Laundering, Spiking Neural Network Dynamic Graph Learning, and Differential‑Private Adaptive Clipping
DataFunTalk
DataFunTalk
Jun 21, 2022 · Information Security

Trusted Traffic Governance and Anti‑Fraud Strategies Using Captcha

This talk explains how to use semantic-driven captcha mechanisms to classify and manage trusted versus untrusted traffic, detailing anti‑fraud strategies, flow identification, countermeasures against simulator and protocol cracking, and proactive updates to stay ahead of black‑market attacks.

Risk Managementadversarial attacksanti-fraud
0 likes · 15 min read
Trusted Traffic Governance and Anti‑Fraud Strategies Using Captcha