Zhanpeng Liu (Peking University), Yi Rong (Tsinghua University), Chenyang Li (Peking University), Wende Tan (Tsinghua University), Yuan Li (Zhongguancun Laboratory), Xinhui Han (Peking University), Songtao Yang (Zhongguancun Laboratory), Chao Zhang (Tsinghua University)

Memory safety violations are a significant concern in real-world programs, prompting the development of various mitigation methods. However, existing cost-efficient defenses provide limited protection and can be bypassed by sophisticated attacks, necessitating the combination of multiple defenses. Unfortunately, combining these defenses often results in performance degradation and compatibility issues.

We present CCTAG, a lightweight architecture that simplifies the integration of diverse tag-based defense mechanisms. It offers configurable tag verification and modification rules to build various security policies, acting as basic protection primitives for defense applications. Its policy-centric mask design boosts flexibility and prevents conflicts, enabling multiple defense mechanisms to run concurrently. Our RISC-V prototype on an FPGA board demonstrates that CCTAG incurs minimal hardware overhead, with a slight increase in LUTs (6.77%) and FFs (8.02%). With combined protections including ret address protection, code pointer and vtable pointer integrity, and memory coloring, the SPEC CPU CINT2006 and CINT2017 benchmarks report low runtime overheads of 4.71% and 7.93%, respectively. Security assessments with CVEs covering major memory safety vulnerabilities and various exploitation techniques verify CCTAG’s effectiveness in mitigating real-world threats.

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Diffence: Fencing Membership Privacy With Diffusion Models

Yuefeng Peng (University of Massachusetts Amherst), Ali Naseh (University of Massachusetts Amherst), Amir Houmansadr (University of Massachusetts Amherst)

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The Philosopher’s Stone: Trojaning Plugins of Large Language Models

Tian Dong (Shanghai Jiao Tong University), Minhui Xue (CSIRO's Data61), Guoxing Chen (Shanghai Jiao Tong University), Rayne Holland (CSIRO's Data61), Yan Meng (Shanghai Jiao Tong University), Shaofeng Li (Southeast University), Zhen Liu (Shanghai Jiao Tong University), Haojin Zhu (Shanghai Jiao Tong University)

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Moderator: Arupjyoti (Arup) Bhuyan, Ph.D. Director, Wireless Security Institute, Idaho National Laboratory Panelists: Ted K. Woodward, Ph.D. Technical Director for FutureG, OUSD (R&E) Phillip Porras, Program Director, Internet Security Research, SRI Donald McBride, Senior Security Researcher, Bell Laboratories, Nokia

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Privacy Starts with UI: Privacy Patterns and Designer Perspectives in UI/UX Practice

Anxhela Maloku (Technical University of Munich), Alexandra Klymenko (Technical University of Munich), Stephen Meisenbacher (Technical University of Munich), Florian Matthes (Technical University of Munich)

Vision: Profiling Human Attackers: Personality and Behavioral Patterns in Deceptive Multi-Stage CTF Challenges

Khalid Alasiri (School of Computing and Augmented Intelligence Arizona State University), Rakibul Hasan (School of Computing and Augmented Intelligence Arizona State University)

From Underground to Mainstream Marketplaces: Measuring AI-Enabled NSFW Deepfakes on Fiverr

Mohamed Moustafa Dawoud (University of California, Santa Cruz), Alejandro Cuevas (Princeton University), Ram Sundara Raman (University of California, Santa Cruz)