David A. Wagner

ORCID

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 80

Top Venues

CoRR

USENIX Security Symposium

AISec@CCS

IEEE Symposium on Security and Privacy Workshops

Publications

Chong Xiang, Tong Wu, Zexuan Zhong, David A. Wagner, Danqi Chen, Prateek Mittal
Certifiably Robust RAG against Retrieval Corruption. CoRR (2024)
Banghua Zhu, Norman Mu, Jiantao Jiao, David A. Wagner
Generative AI Security: Challenges and Countermeasures. CoRR (2024)
Chawin Sitawarin, Jaewon Chang, David Huang, Wesson Altoyan, David A. Wagner
PubDef: Defending Against Transfer Attacks From Public Models. ICLR (2024)
Zhanhao Hu, Julien Piet, Geng Zhao, Jiantao Jiao, David A. Wagner
Toxicity Detection for Free. CoRR (2024)
Yangruibo Ding, Yanjun Fu, Omniyyah Ibrahim, Chawin Sitawarin, Xinyun Chen, Basel Alomair, David A. Wagner, Baishakhi Ray, Yizheng Chen
Vulnerability Detection with Code Language Models: How Far Are We? CoRR (2024)
Yigitcan Kaya, Yizheng Chen, Shoumik Saha, Fabio Pierazzi, Lorenzo Cavallaro, David A. Wagner, Tudor Dumitras
Demystifying Behavior-Based Malware Detection at Endpoints. CoRR (2024)
Yizheng Chen, Zhoujie Ding, Lamya Alowain, Xinyun Chen, David A. Wagner
DiverseVul: A New Vulnerable Source Code Dataset for Deep Learning Based Vulnerability Detection. RAID (2023)
Norman Mu, Sarah Chen, Zifan Wang, Sizhe Chen, David Karamardian, Lulwa Aljeraisy, Dan Hendrycks, David A. Wagner
Can LLMs Follow Simple Rules? CoRR (2023)
Dhanya K. A., P. Vinod, Suleiman Y. Yerima, Abul Bashar, David A. Wagner, Abhiram T., Alan Antony, Ashil K. Shavanas, T. Gireesh Kumar
Obfuscated Malware Detection in IoT Android Applications Using Markov Images and CNN. IEEE Syst. J. 17 (2) (2023)
Nabeel Hingun, Chawin Sitawarin, Jerry Li, David A. Wagner
REAP: A Large-Scale Realistic Adversarial Patch Benchmark. ICCV (2023)
Julien Piet, Aashish Sharma, Vern Paxson, David A. Wagner
Network Detection of Interactive SSH Impostors Using Deep Learning. USENIX Security Symposium (2023)
Yizheng Chen, Zhoujie Ding, David A. Wagner
Continuous Learning for Android Malware Detection. CoRR (2023)
Chawin Sitawarin, Jaewon Chang, David Huang, Wesson Altoyan, David A. Wagner
Defending Against Transfer Attacks From Public Models. CoRR (2023)
Yizheng Chen, Zhoujie Ding, David A. Wagner
Continuous Learning for Android Malware Detection. USENIX Security Symposium (2023)
Chawin Sitawarin, Kornrapat Pongmala, Yizheng Chen, Nicholas Carlini, David A. Wagner
Part-Based Models Improve Adversarial Robustness. ICLR (2023)
Nathan Malkin, David A. Wagner, Serge Egelman
Can Humans Detect Malicious Always-Listening Assistants? A Framework for Crowdsourcing Test Drives. Proc. ACM Hum. Comput. Interact. 6 (CSCW2) (2022)
Chawin Sitawarin, Kornrapat Pongmala, Yizheng Chen, Nicholas Carlini, David A. Wagner
Part-Based Models Improve Adversarial Robustness. CoRR (2022)
Chawin Sitawarin, Zachary J. Golan-Strieb, David A. Wagner
Demystifying the Adversarial Robustness of Random Transformation Defenses. CoRR (2022)
Nathan Malkin, David A. Wagner, Serge Egelman
Can Humans Detect Malicious Always-Listening Assistants? A Framework for Crowdsourcing Test Drives. Proc. ACM Hum. Comput. Interact. 6 (CSCW2) (2022)
Nabeel Hingun, Chawin Sitawarin, Jerry Li, David A. Wagner
REAP: A Large-Scale Realistic Adversarial Patch Benchmark. CoRR (2022)
Chawin Sitawarin, Zachary J. Golan-Strieb, David A. Wagner
Demystifying the Adversarial Robustness of Random Transformation Defenses. ICML (2022)
Norman Mu, Alexander Kirillov, David A. Wagner, Saining Xie
SLIP: Self-supervision Meets Language-Image Pre-training. ECCV (26) (2022)
Nathan Malkin, David A. Wagner, Serge Egelman
Runtime Permissions for Privacy in Proactive Intelligent Assistants. SOUPS @ USENIX Security Symposium (2022)
Yizheng Chen, Shiqi Wang, Yue Qin, Xiaojing Liao, Suman Jana, David A. Wagner
Learning Security Classifiers with Verified Global Robustness Properties. CoRR (2021)
Chawin Sitawarin, Supriyo Chakraborty, David A. Wagner
SAT: Improving Adversarial Training via Curriculum-Based Loss Smoothing. AISec@CCS (2021)
Dequan Wang, An Ju, Evan Shelhamer, David A. Wagner, Trevor Darrell
Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks. CoRR (2021)
Grant Ho, Mayank Dhiman, Devdatta Akhawe, Vern Paxson, Stefan Savage, Geoffrey M. Voelker, David A. Wagner
Hopper: Modeling and Detecting Lateral Movement. USENIX Security Symposium (2021)
Norman Mu, Alexander Kirillov, David A. Wagner, Saining Xie
SLIP: Self-supervision meets Language-Image Pre-training. CoRR (2021)
Grant Ho, Mayank Dhiman, Devdatta Akhawe, Vern Paxson, Stefan Savage, Geoffrey M. Voelker, David A. Wagner
Hopper: Modeling and Detecting Lateral Movement (Extended Report). CoRR (2021)
Yizheng Chen, Shiqi Wang, Yue Qin, Xiaojing Liao, Suman Jana, David A. Wagner
Learning Security Classifiers with Verified Global Robustness Properties. CCS (2021)
Zhanyuan Zhang, Yizheng Chen, David A. Wagner
SEAT: Similarity Encoder by Adversarial Training for Detecting Model Extraction Attack Queries. AISec@CCS (2021)
Chawin Sitawarin, Evgenios M. Kornaropoulos, Dawn Song, David A. Wagner
Adversarial Examples for k-Nearest Neighbor Classifiers Based on Higher-Order Voronoi Diagrams. NeurIPS (2021)
Henry Xu, An Ju, David A. Wagner
Model-Agnostic Defense for Lane Detection against Adversarial Attack. CoRR (2021)
Zhanyuan Zhang, Benson Yuan, Michael McCoyd, David A. Wagner
Clipped BagNet: Defending Against Sticker Attacks with Clipped Bag-of-features. SP Workshops (2020)
Chawin Sitawarin, Evgenios M. Kornaropoulos, Dawn Song, David A. Wagner
Adversarial Examples for k-Nearest Neighbor Classifiers Based on Higher-Order Voronoi Diagrams. CoRR (2020)
An Ju, David A. Wagner
E-ABS: Extending the Analysis-By-Synthesis Robust Classification Model to More Complex Image Domains. AISec@CCS (2020)
Michael McCoyd, Won Park, Steven Chen, Neil Shah, Ryan Roggenkemper, Minjune Hwang, Jason Xinyu Liu, David A. Wagner
Minority Reports Defense: Defending Against Adversarial Patches. CoRR (2020)
Michael McCoyd, Won Park, Steven Chen, Neil Shah, Ryan Roggenkemper, Minjune Hwang, Jason Xinyu Liu, David A. Wagner
Minority Reports Defense: Defending Against Adversarial Patches. ACNS Workshops (2020)
Chawin Sitawarin, David A. Wagner
Minimum-Norm Adversarial Examples on KNN and KNN-Based Models. CoRR (2020)
Neil Shah, Grant Ho, Marco Schweighauser, M. H. Afifi, Asaf Cidon, David A. Wagner
A Large-Scale Analysis of Attacker Activity in Compromised Enterprise Accounts. CoRR (2020)
Chawin Sitawarin, Supriyo Chakraborty, David A. Wagner
Improving Adversarial Robustness Through Progressive Hardening. CoRR (2020)
Chawin Sitawarin, David A. Wagner
Minimum-Norm Adversarial Examples on KNN and KNN based Models. SP Workshops (2020)
Nathan Malkin, Serge Egelman, David A. Wagner
Privacy controls for always-listening devices. NSPW (2019)
Chawin Sitawarin, David A. Wagner
On the Robustness of Deep K-Nearest Neighbors. CoRR (2019)
Steven Chen, Nicholas Carlini, David A. Wagner
Stateful Detection of Black-Box Adversarial Attacks. CoRR (2019)
Grant Ho, Asaf Cidon, Lior Gavish, Marco Schweighauser, Vern Paxson, Stefan Savage, Geoffrey M. Voelker, David A. Wagner
Detecting and Characterizing Lateral Phishing at Scale. USENIX Security Symposium (2019)
Chawin Sitawarin, David A. Wagner
On the Robustness of Deep K-Nearest Neighbors. IEEE Symposium on Security and Privacy Workshops (2019)
Nathan Malkin, Joe Deatrick, Allen Tong, Primal Wijesekera, Serge Egelman, David A. Wagner
Privacy Attitudes of Smart Speaker Users. Proc. Priv. Enhancing Technol. 2019 (4) (2019)
Grant Ho, Asaf Cidon, Lior Gavish, Marco Schweighauser, Vern Paxson, Stefan Savage, Geoffrey M. Voelker, David A. Wagner
Detecting and Characterizing Lateral Phishing at Scale. CoRR (2019)
Anish Athalye, Nicholas Carlini, David A. Wagner
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples. ICML (2018)
Primal Wijesekera, Joel Reardon, Irwin Reyes, Lynn Tsai, Jung-Wei Chen, Nathan Good, David A. Wagner, Konstantin Beznosov, Serge Egelman
Contextualizing Privacy Decisions for Better Prediction (and Protection). CHI (2018)
Anish Athalye, Nicholas Carlini, David A. Wagner
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples. CoRR (2018)
Nicholas Carlini, David A. Wagner
Audio Adversarial Examples: Targeted Attacks on Speech-to-Text. CoRR (2018)
Steven Chen, Won Park, Joanna Yang, David A. Wagner
Inferring Phone Location State. WiMob (2018)
Inigo Incer, Michael Theodorides, Sadia Afroz, David A. Wagner
Adversarially Robust Malware Detection Using Monotonic Classification. IWSPA@CODASPY (2018)
Nicholas Carlini, David A. Wagner
Audio Adversarial Examples: Targeted Attacks on Speech-to-Text. IEEE Symposium on Security and Privacy Workshops (2018)
Michael McCoyd, David A. Wagner
Background Class Defense Against Adversarial Examples. IEEE Symposium on Security and Privacy Workshops (2018)
Primal Wijesekera, Arjun Baokar, Lynn Tsai, Joel Reardon, Serge Egelman, David A. Wagner, Konstantin Beznosov
Dynamically Regulating Mobile Application Permissions. IEEE Secur. Priv. 16 (1) (2018)
Michael Theodorides, David A. Wagner
Breaking active-set backward-edge CFI. HOST (2017)
Nicholas Carlini, David A. Wagner
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods. AISec@CCS (2017)
Thurston H. Y. Dang, Petros Maniatis, David A. Wagner
Oscar: A Practical Page-Permissions-Based Scheme for Thwarting Dangling Pointers. USENIX Security Symposium (2017)
David A. Wagner
Security and Machine Learning. CCS (2017)
Primal Wijesekera, Arjun Baokar, Lynn Tsai, Joel Reardon, Serge Egelman, David A. Wagner, Konstantin Beznosov
The Feasibility of Dynamically Granted Permissions: Aligning Mobile Privacy with User Preferences. IEEE Symposium on Security and Privacy (2017)
Primal Wijesekera, Arjun Baokar, Lynn Tsai, Joel Reardon, Serge Egelman, David A. Wagner, Konstantin Beznosov
The Feasibility of Dynamically Granted Permissions: Aligning Mobile Privacy with User Preferences. CoRR (2017)
Nicholas Carlini, David A. Wagner
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods. CoRR (2017)
Lynn Tsai, Primal Wijesekera, Joel Reardon, Irwin Reyes, Serge Egelman, David A. Wagner, Nathan Good, Jung-Wei Chen
Turtle Guard: Helping Android Users Apply Contextual Privacy Preferences. SOUPS (2017)
Christopher Thompson, David A. Wagner
A Large-Scale Study of Modern Code Review and Security in Open Source Projects. PROMISE (2017)
Linda Naeun Lee, David Fifield, Nathan Malkin, Ganesh Iyer, Serge Egelman, David A. Wagner
A Usability Evaluation of Tor Launcher. Proc. Priv. Enhancing Technol. 2017 (3) (2017)
Nicholas Carlini, David A. Wagner
Towards Evaluating the Robustness of Neural Networks. IEEE Symposium on Security and Privacy (2017)
Nicholas Carlini, David A. Wagner
MagNet and "Efficient Defenses Against Adversarial Attacks" are Not Robust to Adversarial Examples. CoRR (2017)
Grant Ho, Aashish Sharma, Mobin Javed, Vern Paxson, David A. Wagner
Detecting Credential Spearphishing in Enterprise Settings. USENIX Security Symposium (2017)
Nicholas Carlini, David A. Wagner
Defensive Distillation is Not Robust to Adversarial Examples. CoRR (2016)
Jethro G. Beekman, John L. Manferdelli, David A. Wagner
Attestation Transparency: Building secure Internet services for legacy clients. AsiaCCS (2016)
Nicholas Carlini, David A. Wagner
Towards Evaluating the Robustness of Neural Networks. CoRR (2016)
David A. Wagner
Fairness and the coin flip: technical perspective. Commun. ACM 59 (4) (2016)
Grant Ho, Derek Leung, Pratyush Mishra, Ashkan Hosseini, Dawn Song, David A. Wagner
Smart Locks: Lessons for Securing Commodity Internet of Things Devices. AsiaCCS (2016)
Nicholas Carlini, Pratyush Mishra, Tavish Vaidya, Yuankai Zhang, Micah Sherr, Clay Shields, David A. Wagner, Wenchao Zhou
Hidden Voice Commands. USENIX Security Symposium (2016)
Nathan Malkin, Serge Egelman, David A. Wagner
Recovering High-Value Secrets with SGX and Social Authentication. WAY@SOUPS (2016)
Michael McCoyd, David A. Wagner
Spoofing 2D Face Detection: Machines See People Who Aren't There. CoRR (2016)
Christopher Thompson, David A. Wagner
Securing Recognizers for Rich Video Applications. SPSM@CCS (2016)
Linda Naeun Lee, Serge Egelman, Joong Hwa Lee, David A. Wagner
Risk Perceptions for Wearable Devices. CoRR (2015)
Primal Wijesekera, Arjun Baokar, Ashkan Hosseini, Serge Egelman, David A. Wagner, Konstantin Beznosov
Android Permissions Remystified: A Field Study on Contextual Integrity. CoRR (2015)
Primal Wijesekera, Arjun Baokar, Ashkan Hosseini, Serge Egelman, David A. Wagner, Konstantin Beznosov
Android Permissions Remystified: A Field Study on Contextual Integrity. USENIX Security Symposium (2015)
Nicholas Carlini, Antonio Barresi, Mathias Payer, David A. Wagner, Thomas R. Gross
Control-Flow Bending: On the Effectiveness of Control-Flow Integrity. USENIX Security Symposium (2015)
Rebecca S. Portnoff, Linda Naeun Lee, Serge Egelman, Pratyush Mishra, Derek Leung, David A. Wagner
Somebody's Watching Me?: Assessing the Effectiveness of Webcam Indicator Lights. CHI (2015)
Thurston H. Y. Dang, Petros Maniatis, David A. Wagner
The Performance Cost of Shadow Stacks and Stack Canaries. AsiaCCS (2015)
Nicholas Carlini, David A. Wagner
ROP is Still Dangerous: Breaking Modern Defenses. USENIX Security Symposium (2014)
David A. Wagner
Developing Social Capital in Online Communities: The Challenge of Fluidity. AMCIS (2014)
Joshua Tan, Khanh Nguyen, Michael Theodorides, Heidi Negrón-Arroyo, Christopher Thompson, Serge Egelman, David A. Wagner
The effect of developer-specified explanations for permission requests on smartphone user behavior. CHI (2014)
Serge Egelman, Sakshi Jain, Rebecca S. Portnoff, Kerwell Liao, Sunny Consolvo, David A. Wagner
Are You Ready to Lock? CCS (2014)
Eric Kim, Nicholas Carlini, Andrew Chang, George Yiu, Kai Wang, David A. Wagner
Improved Support for Machine-assisted Ballot-level Audits. EVT/WOTE (2013)
Anne Edmundson, Brian Holtkamp, Emanuel Rivera, Matthew Finifter, Adrian Mettler, David A. Wagner
An Empirical Study on the Effectiveness of Security Code Review. ESSoS (2013)
Elizabeth Ha, David A. Wagner
Do Android users write about electric sheep? Examining consumer reviews in Google Play. CCNC (2013)
Matthew Finifter, Devdatta Akhawe, David A. Wagner
An Empirical Study of Vulnerability Rewards Programs. USENIX Security Symposium (2013)
Christopher Thompson, Maritza L. Johnson, Serge Egelman, David A. Wagner, Jennifer King
When it's better to ask forgiveness than get permission: attribution mechanisms for smartphone resources. SOUPS (2013)
Erika Chin, David A. Wagner
Bifocals: Analyzing WebView Vulnerabilities in Android Applications. WISA (2013)
Cynthia Sturton, Rohit Sinha, Thurston H. Y. Dang, Sakshi Jain, Michael McCoyd, Wei Yang Tan, Petros Maniatis, Sanjit A. Seshia, David A. Wagner
Symbolic software model validation. MEMOCODE (2013)
Drew Fisher, Leah Dorner, David A. Wagner
Short paper: location privacy: user behavior in the field. SPSM@CCS (2012)
Serge Egelman, Adrienne Porter Felt, David A. Wagner
Choice Architecture and Smartphone Privacy: There's a Price for That. WEIS (2012)
Rohit Sinha, Cynthia Sturton, Petros Maniatis, Sanjit A. Seshia, David A. Wagner
Verification with small and short worlds. FMCAD (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

David A. Wagner