AI Village·22 min
Sven Cattell
Deep learning approaches to security threats and vulnerabilities.
9-12 August 2018 · Caesars Palace, Flamingo, Linq, Las Vegas
21 villages · 339 talks
AI Village
32 talks
AI Village presentations from DEF CON 26 covering machine learning security, AI safety, adversarial techniques, and ethical considerations in artificial intelligence.
Biohacking Village
12 talks
Biohacking Village at DEF CON 26 explores the intersection of biology, genetics, and security. The 11 talks cover medical device vulnerabilities, genetic engineering, DNA security, pacemakers, in utero genetic treatment, immune system exploitation, and the ethics of biohacking.
Blue Team Village
9 talks
Blue Team Village at DEF CON 26 covers defensive security practices and security operations. The talks explore cloud security, DFIR automation, log management, SOC operations, vulnerability management, endpoint monitoring, threat detection, and secure development practices.
Cannabis Village
12 talks
Cannabis Village at DEF CON 26 covers security, compliance, and technology in the cannabis industry. The talks explore cannabis software security breaches, regulatory compliance, genetic engineering, computer vision applications, hydroponic systems, and the intersection of cybersecurity and the emerging cannabis sector.
Car Hacking Village
10 talks
Car Hacking Village at DEF CON 26 covers automotive security, CAN bus exploitation, infotainment systems, ECU vulnerabilities, and vehicle-to-everything (V2X) network security. The 10 talks explore CAN signal extraction, SMS-controlled car hacking, digital key attacks, and automotive security tools.
Crypto and Privacy Village
22 talks
Crypto and Privacy Village presentations from DEF CON 26 covering cryptography, privacy technologies, and secure communication methods.
Crypto Village
1 talks
DEF CON 26 Crypto Village talks exploring historical encryption paradigms, legal protections for cryptographic research, and policy implications.
Data Duplication Village
4 talks
Data Duplication Village at DEF CON 26 covers data storage security, forensics, and management with 4 talks on distributed file systems, cold storage forensics, cyberwarfare strategies, and large-scale storage management.
DC Groups
4 talks
Presentations, interviews, and community spotlights with local DEF CON Groups coordinators around the world during DEF CON 26.
Ethics Village
7 talks
Ethics Village at DEF CON 26 covers ethical considerations in security, responsible disclosure, and the role of ethics in technology. The talks explore disclosure practices, cyber nationalism, humanitarian technology, security ethics, and accountability in the digital age.
Hardware Hacking Village
5 talks
Hardware Hacking Village at DEF CON 26 covers hands-on hardware security and reverse engineering with 5 talks on NFC payments, RF hacking, WiFi exploitation, drone building, firmware analysis, and retro computing.
ICS Village
9 talks
ICS Village at DEF CON 26 covers Industrial Control Systems security and critical infrastructure protection. The talks explore ICS/IoT defense mechanisms, firmware security, side-channel attacks, VPN vulnerabilities, behavioral defense systems, and practical security training for industrial environments.
IoT Village
11 talks
IoT Village at DEF CON 26 covers IoT security vulnerabilities, firmware hacking, and device exploitation. The 11 talks explore attacks on smart home devices, medical implants, wireless speakers, smart locks, FPGAs, door locks, irrigation systems, and the legal landscape of IoT security research.
Main Stage
102 talks
Main Stage presentations at DEF CON 26 covering cutting-edge security research across hardware exploitation, Windows internals, hypervisor escapes, telecom and radio protocols, cryptography, reverse engineering, and cyber policy.
Monero Village
14 talks
Monero Village at DEF CON 26 explores privacy-focused cryptocurrency, cryptographic techniques, and blockchain technology. The 14 talks cover Monero development, cryptocurrency security, ring signatures, and privacy applications.
Packet Hacking Village
21 talks
Packet Hacking Village at DEF CON 26 showcases techniques and tools for capturing, analyzing, and exploiting network traffic. The 21 talks cover wireless security, network analysis, packet capture, and practical penetration testing methods.
Recon Village
26 talks
Recon Village presentations from DEF CON 26 covering reconnaissance, OSINT techniques, and information gathering methodologies for security research and penetration testing.
Rootz Asylum Village
2 talks
Rootz Asylum Village at DEF CON 26 features community talks and discussions on hacking and security culture with 2 sessions.
Social Engineering Village
10 talks
Social Engineering Village at DEF CON 26 covers manipulation techniques, psychological tactics, and defensive strategies. The 10 talks explore phishing, vishing, pretexting, OSINT, red team operations, and using social engineering for positive purposes including child safety.
Voting Village
9 talks
Voting Village at DEF CON 26 covers election security, voting machine vulnerabilities, and election infrastructure defenses. The talks explore election threats and solutions, voting machine forensics, auditing procedures, state and local election security perspectives, and trustworthy election systems.
Wireless Village
17 talks
Wireless Village at DEF CON 26 covers wireless security, RF communications, SDR techniques, and emerging wireless threats. The 15 talks explore WiFi attacks, Bluetooth hacking, RF protocols, emergency systems, and wireless pentesting tools.
1–24 of 333 talks / 339
AI Village·22 min
Sven Cattell
Deep learning approaches to security threats and vulnerabilities.
AI Village·12 min
Zhao
Techniques and empirical results in adversarial training for hardening neural network models against evasion.
AI Village·14 min
Alex Long
Behind-the-scenes machine learning operations at a major antivirus company.
AI Village·27 min
Andy Applebaum
Using automated planning and AI to improve red team offensive operations.
AI Village·14 min
Kang Li
Deploying machine learning security systems in production.
AI Village·17 min
Xingxing Wei
Accelerating and stabilizing adversarial perturbation generation using momentum-based gradient optimization.
AI Village·13 min
Chris Gardner
Using natural language interaction with ML to discover vulnerabilities in software programs.
AI Village·15 min
Ivan Torroledo
Threat detection using defensive machine learning techniques.
AI Village·33 min
Fedor Sakharov
Security research applications of machine learning analysis.
AI Village·38 min
Brian Genz
Generating labeled datasets from adversary simulations using MITRE ATT&CK framework for ML training.
AI Village·25 min
Joseph Clements
Designing hardware trojan exploits embedded directly into neural network accelerator silicon and hardware.
AI Village·37 min
Li · Jiao
Leveraging open-source intelligence and public datasets for security research and AI model analysis.
AI Village·27 min
TonTon Huang
Machine learning applications and techniques in cybersecurity.
AI Village·23 min
Andrew Morris
Identifying and correlating anomalies in internet-wide network scan data using machine learning.
AI Village·27 min
Matt
Neural network approaches to cybersecurity challenges.
AI Village·35 min
Rob Brandon
Evaluating machine learning models for security applications.
AI Village·18 min
Ariel Herbert Voss
Techniques for hardening machine learning models against adversarial attacks and evasion.
AI Village·25 min
drhyrum
Threat analysis using defensive AI and machine learning.
AI Village·33 min
Moustafa Alzantot · Yash Sharma
Practical black-box and gradient-free adversarial attack methodologies against machine learning systems.
AI Village·39 min
Mark Mager
Malware detection using machine learning classifiers.
AI Village·19 min
Guo · Cuevas
An overview of recent progress and developments in adversarial deep learning attacks and defenses.
AI Village·37 min
bodaceacat
Panel discussion on responsible and ethical approaches to offensive machine learning research.
AI Village·20 min
Raphael Norwitz
Defensive machine learning strategies against adversarial attacks.
AI Village·22 min
Rohan Taori · Ameya Kamsetty
Generating targeted adversarial perturbation examples against black-box automated speech recognition systems.