Anonysense: privacy-aware people-centric sensing. - Cory Cornelius; Apu Kapadia; David Kotz; Daniel Peebles; Minho Shin; Nikos Triandopoulos (MobiSys, 2008)

AnonySense: Opportunistic and Privacy-Preserving Context Collection. - Apu Kapadia; Nikos Triandopoulos; Cory Cornelius; Daniel Peebles; David Kotz (Pervasive, 2008)

Active behavioral fingerprinting of wireless devices. - Sergey Bratus; Cory Cornelius; David Kotz; Daniel Peebles (WISEC, 2008)

DEAMON: Energy-efficient Sensor Monitoring. - Minho Shin; Patrick P. Tsang; David Kotz; Cory Cornelius (SECON, 2009)

Darwin phones: the evolution of sensing and inference on mobile phones. - Emiliano Miluzzo; Cory Cornelius; Ashwin Ramaswamy; Tanzeem Choudhury; Zhigang Liu 010; Andrew T. Campbell (MobiSys, 2010)

Adaptive Security and Privacy for mHealth Sensing. - Shrirang Mare; Jacob Sorber; Minho Shin; Cory Cornelius; David Kotz (HealthSec, 2011)

Adapt-lite: privacy-aware, secure, and efficient mhealth sensing. - Shrirang Mare; Jacob Sorber; Minho Shin; Cory Cornelius; David Kotz (WPES, 2011)

AnonySense: A system for anonymous opportunistic sensing. - Minho Shin; Cory Cornelius; Daniel Peebles; Apu Kapadia; David Kotz; Nikos Triandopoulos (Pervasive Mob. Comput., 2011)

Nymble: Blocking Misbehaving Users in Anonymizing Networks. - Patrick P. Tsang; Apu Kapadia; Cory Cornelius; Sean W. Smith (IEEE Trans. Dependable Secur. Comput., 2011)

Who Wears Me? Bioimpedance as a Passive Biometric. - Cory Cornelius; Jacob Sorber; Ronald A. Peterson; Joe Skinner; Ryan J. Halter; David Kotz (HealthSec, 2012)

An amulet for trustworthy wearable mHealth. - Jacob Sorber; Minho Shin; Ronald A. Peterson; Cory Cornelius; Shrirang Mare; Aarathi Prasad; Zachary Marois; Emma Smithayer; David Kotz (HotMobile, 2012)

Recognizing whether sensors are on the same body. - Cory Cornelius; David Kotz (Pervasive Mob. Comput., 2012)

Usable Security for Wireless Body-Area Networks. - Cory Cornelius (2013)

A wearable system that knows who wears it. - Cory Cornelius; Ronald A. Peterson; Joseph Skinner; Ryan J. Halter; David Kotz (MobiSys, 2014)

ZEBRA: Zero-Effort Bilateral Recurring Authentication. - Shrirang Mare; Andres Molina-Markham; Cory Cornelius; Ronald A. Peterson; David Kotz (IEEE Symposium on Security and Privacy, 2014)

Hide-n-Sense: Preserving Privacy Efficiently in Wireless mHealth. - Shrirang Mare; Jacob Sorber; Minho Shin; Cory Cornelius; David Kotz (Mob. Networks Appl., 2014)

Location Privacy for Mobile Crowd Sensing through Population Mapping. - Minho Shin; Cory Cornelius; Apu Kapadia; Nikos Triandopoulos; David Kotz (Sensors, 2015)

Poster: Vocal Resonance as a Passive Biometric. - Rui Liu 014; Cory Cornelius; Reza Rawassizadeh; Ronald A. Peterson; David Kotz (MobiSys, 2017)

ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector. - Shang-Tse Chen; Cory Cornelius; Jason Martin; Duen Horng (Polo) Chau (ECML/PKDD (1), 2018)

Robust Physical Adversarial Attack on Faster R-CNN Object Detector. - Shang-Tse Chen; Cory Cornelius; Jason Martin; Duen Horng Chau (CoRR, 2018)

Vocal Resonance: Using Internal Body Voice for Wearable Authentication. - Rui Liu 014; Cory Cornelius; Reza Rawassizadeh; Ronald A. Peterson; David Kotz (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018)

The Efficacy of SHIELD under Different Threat Models. - Cory Cornelius (CoRR, 2019)

Talk Proposal: Towards the Realistic Evaluation of Evasion Attacks using CARLA. - Cory Cornelius; Shang-Tse Chen; Jason Martin; Duen Horng Chau (CoRR, 2019)

Toward Few-step Adversarial Training from a Frequency Perspective. - Hans Shih-Han Wang; Cory Cornelius; Brandon Edwards; Jason Martin (CoRR, 2020)

Synthetic Dataset Generation for Adversarial Machine Learning Research. - Xiruo Liu; Shibani Singh; Cory Cornelius; Colin Busho; Mike Tan; Anindya Paul; Jason Martin (CoRR, 2022)

Membership-Doctor: Comprehensive Assessment of Membership Inference Against Machine Learning Models. - Xinlei He 001; Zheng Li 023; Weilin Xu; Cory Cornelius; Yang Zhang 016 (CoRR, 2022)

Robust Principles: Architectural Design Principles for Adversarially Robust CNNs. - Shengyun Peng; Weilin Xu; Cory Cornelius; Matthew Hull; Kevin Li; Rahul Duggal; Mansi Phute; Jason Martin; Duen Horng Chau (BMVC, 2023)

RobArch: Designing Robust Architectures against Adversarial Attacks. - Sheng-Yun Peng; Weilin Xu; Cory Cornelius; Kevin Li; Rahul Duggal; Duen Horng Chau; Jason Martin (CoRR, 2023)

Investigating the Adversarial Robustness of Density Estimation Using the Probability Flow ODE. - Marius Arvinte; Cory Cornelius; Jason Martin; Nageen Himayat (CoRR, 2023)

LLM Self Defense: By Self Examination, LLMs Know They Are Being Tricked. - Mansi Phute; Alec Helbling; Matthew Hull; Shengyun Peng; Sebastian Szyller; Cory Cornelius; Duen Horng Chau (Tiny Papers @ ICLR, 2024)

Investigating the Semantic Robustness of CLIP-based Zero-Shot Anomaly Segmentation. - Kevin Stangl; Marius Arvinte; Weilin Xu; Cory Cornelius (CoRR, 2024)

Imperceptible Adversarial Examples in the Physical World. - Weilin Xu; Sebastian Szyller; Cory Cornelius; Luis Murillo Rojas; Marius Arvinte; Alvaro Velasquez; Jason Martin; Nageen Himayat (CoRR, 2024)