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Computer Science
Attackers
100%
Adversarial Example
49%
Artificial Intelligence
47%
Deepfakes
42%
Data Stream
26%
Anomaly Detection
26%
Internet-Of-Things
26%
Large Language Model
25%
Deep Learning Method
23%
Deep Neural Network
21%
Botnets
21%
Neural Network
21%
Machine Learning
20%
Autonomous Vehicles
20%
Deep Learning Model
20%
Adversarial Machine Learning
18%
Learning System
17%
covert channel
16%
Malware
15%
Unauthorized User
15%
Cellular Network
15%
Autoencoder
14%
Cyber Attack
13%
Data Exfiltration
13%
Semantic Image
13%
Image Segmentation
13%
Distributed Denial of Service Attack
13%
Object Recognition
13%
Target Location
13%
Verification Process
13%
Illegitimate User
13%
Legitimate User
13%
Mobile Device
13%
Personal Data
13%
Equal Error Rate
13%
Extreme Gradient Boosting
13%
Collected Data
13%
Coder
13%
Radial Basis Network
13%
YOLOv3
13%
Cryptography
13%
Smartphone
13%
Blockchain
13%
Collaboration
13%
Black-Box Attack
11%
Synchronism
11%
Emerging Threat
11%
Communication Protocol
10%
Physical Layer
10%
Social Engineering Attack
8%
Keyphrases
Attacker
44%
Anomaly Detection
20%
Smartphone
17%
Transferability
13%
Deep Neural Network
13%
Phantom
13%
Coverage Map
13%
Anomaly Detection Model
13%
Blockchain
13%
Adversarial Samples
12%
Air-gapped Networks
11%
Cyber-attacks
11%
Adversarial Examples
10%
Offensive AI
10%
Medical Deepfakes
10%
Internet of Things Devices
10%
Healthcare
10%
Deep Learning
9%
Fool
9%
Botnet
8%
Air Gap
8%
Malware
8%
Transmitter
8%
Collaborative Anomaly Detection
8%
Internet of Things
8%
Plug-and-play
8%
Large Language Models
8%
World Wide Web
8%
Vernam Cipher
8%
Machine Learning
8%
Cellular Networks
7%
Deepfake
7%
Real Objects
7%
Autonomous Cars
7%
Vulnerability
6%
AI Safety
6%
Point Anomaly
6%
Machine Learning Techniques
6%
Air-gapped Computers
6%
Distributed Denial of Service (DDoS)
6%
Adversarial Patch
6%
Advanced Driver Assistance Systems
6%
GSM Frequencies
6%
GSMem
6%
Data Exfiltration
6%
User Verification
6%
Mobile Devices
6%
Touch Gestures
6%
Binary Reconstruction
6%
Cipher
6%
