Wagner, David

Towards Evaluating the Robustness of Neural Networks

Carlini, N., & Wagner, D. (2017) · 2017 IEEE Symposium on Security and Privacy (SP)

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 8,859

Obfuscated gradients give a false sense of security: Circumventing defenses to adversarial examples

Athalye, A., Carlini, N., & Wagner, D. (2018) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 2,172

Android permissions

Felt, A. P., Ha, E., Egelman, S., Haney, A., Chin, E., & Wagner, D. (2012) · Proceedings of the Eighth Symposium on Usable Privacy and Security

Privacy, Security, and Data ProtectionUser Authentication and Security Systems

Cited by 983

Mimicry attacks on host-based intrusion detection systems

Wagner, D., & Soto, P. (2002) · Proceedings of the 9th ACM conference on Computer and communications security

Network Security and Intrusion DetectionSecurity and Verification in Computing

Cited by 714

Measuring user confidence in smartphone security and privacy

Chin, E., Felt, A. P., Sekar, V., & Wagner, D. (2012) · Proceedings of the Eighth Symposium on Usable Privacy and Security

Privacy, Security, and Data ProtectionUser Authentication and Security Systems

Cited by 347

Are You Ready to Lock?

Egelman, S., Jain, S., Portnoff, R. S., Liao, K., Consolvo, S., & Wagner, D. (2014) · Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications Security

User Authentication and Security SystemsPrivacy, Security, and Data Protection

Cited by 134

Choice Architecture and Smartphone Privacy: There’s a Price for That

Egelman, S., Felt, A. P., & Wagner, D. (2013) · The Economics of Information Security and Privacy

Privacy, Security, and Data ProtectionDecision-Making and Behavioral Economics

Cited by 131

Mark My Words: Analyzing and Evaluating Language Model Watermarks

Piet, J., Sitawarin, C., Fang, V., Mu, N., & Wagner, D. (2023) · arXiv

Advanced Steganography and Watermarking TechniquesAdversarial Robustness in Machine Learning

Cited by 61

Jatmo: Prompt Injection Defense by Task-Specific Finetuning

Piet, J., Alrashed, M., Sitawarin, C., Chen, S., Wei, Z., Sun, E., Alomair, B., & Wagner, D. (2023) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 54

Certifiably Robust RAG against Retrieval Corruption

Xiang, C., Wu, T., Zhong, Z., Wagner, D., Chen, D., & Mittal, P. (2024) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 7