Schneier, Bruce
John F. Kennedy University · Dana-Farber/Harvard Cancer Center
9 papers on CoChatORCID 0000-0003-1453-1083
Most cited papers
- Verified
Applied cryptography: Protocols, algorithms, and source code in C
Schneier, B. (1994) · Computer Law & Security Report
Cryptography and Data SecurityCryptographic Implementations and Security
Cited by 3,411
- Verified
Improved Cryptanalysis of Rijndael
Ferguson, N., Kelsey, J., Lucks, S., Schneier, B., Stay, M., Wagner, D., & Whiting, D. (2001) · Lecture Notes in Computer Science
Cryptographic Implementations and SecurityCoding theory and cryptography
Cited by 449
- Verified
Secure audit logs to support computer forensics
Schneier, B., & Kelsey, J. (1999) · ACM Transactions on Information and System Security
Cryptography and Data SecuritySecurity and Verification in Computing
Cited by 443
- Verified · note
Inside risks: the uses and abuses of biometrics
Schneier, B. (1999) · Communications of the ACM
Biometric Identification and SecurityUser Authentication and Security Systems
Cited by 206
- Verified
Devising and Detecting Phishing Emails Using Large Language Models
Heiding, F., Schneier, B., Vishwanath, A., Bernstein, J., & Park, P. S. (2024) · IEEE Access
Spam and Phishing DetectionMisinformation and Its Impacts
Cited by 123
- Verified
Liars and Outliers: Enabling the Trust that Society Needs to Thrive
Schneier, B. (2012) · Wiley eBooks
Social Capital and NetworksSocial Power and Status Dynamics
Cited by 119
- Verified
Inside risks: semantic network attacks
Schneier, B. (2000) · Communications of the ACM
Information and Cyber SecurityAdversarial Robustness in Machine Learning
Cited by 30
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Evaluating Large Language Models' Capability to Launch Fully Automated Spear Phishing Campaigns: Validated on Human Subjects
Heiding, F., Lermen, S., Kao, A., Schneier, B., & Vishwanath, A. (2024) · arXiv
Spam and Phishing DetectionAdversarial Robustness in Machine Learning
Cited by 5
- Verified
The Promptware Kill Chain: How Prompt Injections Gradually Evolved Into a Multistep Malware Delivery Mechanism
Brodt, O., Feldman, E., Schneier, B., & Nassi, B. (2026) · arXiv
Adversarial Robustness in Machine LearningSecurity and Verification in Computing
Cited by 0
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