Mixnets on a Tightrope: Quantifying the Leakage of Mix Networks Using a Provably Optimal Heuristic Adversary

Victim-Centred Abuse Investigations and Defenses for Social Media Platforms

Zaid Hakami (Florida International University and Jazan University), Ashfaq Ali Shafin (Florida International University), Peter J. Clarke (Florida International University), Niki Pissinou (Florida International University), and Bogdan Carbunar (Florida International University)

Security Signals: Making Web Security Posture Measurable at Scale

Michele Spagnuolo (Google), David Dworken (Google), Artur Janc (Google), Santiago Díaz (Google), Lukas Weichselbaum (Google)

Incorporating Gradients to Rules: Towards Lightweight, Adaptive Provenance-based Intrusion...

Lingzhi Wang (Northwestern University), Xiangmin Shen (Northwestern University), Weijian Li (Northwestern University), Zhenyuan LI (Zhejiang University), R. Sekar (Stony Brook University), Han Liu (Northwestern University), Yan Chen (Northwestern University)

Non-intrusive and Unconstrained Keystroke Inference in VR Platforms via...

Tao Ni (City University of Hong Kong), Yuefeng Du (City University of Hong Kong), Qingchuan Zhao (City University of Hong Kong), Cong Wang (City University of Hong Kong)

Mixnets on a Tightrope: Quantifying the Leakage of Mix Networks Using a Provably Optimal Heuristic Adversary

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Victim-Centred Abuse Investigations and Defenses for Social Media Platforms

Security Signals: Making Web Security Posture Measurable at Scale

Incorporating Gradients to Rules: Towards Lightweight, Adaptive Provenance-based Intrusion...

Non-intrusive and Unconstrained Keystroke Inference in VR Platforms via...