{ChainReactor}: Automated Privilege Escalation Chain Discovery via {AI} Planning De Pasquale G, Grishchenko I, Iesari R, Pizarro G, Cavallaro L, Kruegel C, Vigna G. 2024. {ChainReactor}: Automated Privilege Escalation Chain Discovery via {AI} Planning. 33rd USENIX Security Symposium (USENIX Security 24). :5913--5929. Read more about {ChainReactor}: Automated Privilege Escalation Chain Discovery via {AI} PlanningDBLPGoogle ScholarBibTeX
Max Attestation Matters: Making Honest Parties Lose Their Incentives in Ethereum {PoS} Zhang M, Li R, Duan S. 2024. Max Attestation Matters: Making Honest Parties Lose Their Incentives in Ethereum {PoS}. 33rd USENIX Security Symposium (USENIX Security 24). :6255--6272. Read more about Max Attestation Matters: Making Honest Parties Lose Their Incentives in Ethereum {PoS}DBLPGoogle ScholarBibTeX
Using My Functions Should Follow My Checks: Understanding and Detecting Insecure {OpenZeppelin} Code in Smart Contracts Liu H, Wu D, Sun Y, Wang H, Li K, Liu Y, Chen Y. 2024. Using My Functions Should Follow My Checks: Understanding and Detecting Insecure {OpenZeppelin} Code in Smart Contracts. 33rd USENIX Security Symposium (USENIX Security 24). :3585--3601. Read more about Using My Functions Should Follow My Checks: Understanding and Detecting Insecure {OpenZeppelin} Code in Smart ContractsDBLPGoogle ScholarBibTeX
Malla: Demystifying Real-world Large Language Model Integrated Malicious Services Lin Z, Cui J, Liao X, Wang XF. 2024. Malla: Demystifying Real-world Large Language Model Integrated Malicious Services. 33rd USENIX Security Symposium (USENIX Security 24). :4693--4710. Read more about Malla: Demystifying Real-world Large Language Model Integrated Malicious ServicesDBLPGoogle ScholarBibTeX
Peep With A Mirror: Breaking The Integrity of Android App Sandboxing via Unprivileged Cache Side Channel Lin Y, Wong J, Li X, Ma H, Gao D. 2024. Peep With A Mirror: Breaking The Integrity of Android App Sandboxing via Unprivileged Cache Side Channel. 33rd USENIX Security Symposium (USENIX Security 24). :2119--2135. Read more about Peep With A Mirror: Breaking The Integrity of Android App Sandboxing via Unprivileged Cache Side ChannelDBLPGoogle ScholarBibTeX
Demystifying the Security Implications in {IoT} Device Rental Services He Y, Guan Y, Lun R, Song S, Guo Z, Zhuge J, Chen J, Wei Q, Wu Z, Yu M et al.. 2024. Demystifying the Security Implications in {IoT} Device Rental Services. 33rd USENIX Security Symposium (USENIX Security 24). :6579--6596. Read more about Demystifying the Security Implications in {IoT} Device Rental ServicesDBLPGoogle ScholarBibTeX
{ChainPatrol}: Balancing Attack Detection and Classification with Performance Overhead for Service Function Chains Using Virtual Trailers Oqaily M, Purohit H, Jarraya Y, Wang L, Nour B, Pourzandi M, Debbabi M. 2024. {ChainPatrol}: Balancing Attack Detection and Classification with Performance Overhead for Service Function Chains Using Virtual Trailers. 33rd USENIX Security Symposium (USENIX Security 24). :3441--3458. Read more about {ChainPatrol}: Balancing Attack Detection and Classification with Performance Overhead for Service Function Chains Using Virtual TrailersDBLPGoogle ScholarBibTeX
Detecting and Mitigating Sampling Bias in Cybersecurity with Unlabeled Data Thirumuruganathan S, Deniz F, Khalil I, Yu T, Nabeel M, Ouzzani M. 2024. Detecting and Mitigating Sampling Bias in Cybersecurity with Unlabeled Data. 33rd USENIX Security Symposium (USENIX Security 24). :1741--1758. Read more about Detecting and Mitigating Sampling Bias in Cybersecurity with Unlabeled DataDBLPGoogle ScholarBibTeX
{Privacy-Preserving} Data Aggregation with Public Verifiability Against Internal Adversaries Palazzo M, Dekker FW, Brighente A, Conti M, Erkin Z. 2024. {Privacy-Preserving} Data Aggregation with Public Verifiability Against Internal Adversaries. 33rd USENIX Security Symposium (USENIX Security 24). :6957--6974. Read more about {Privacy-Preserving} Data Aggregation with Public Verifiability Against Internal AdversariesDBLPGoogle ScholarBibTeX
{ACE}: A Model Poisoning Attack on Contribution Evaluation Methods in Federated Learning Xu Z, Jiang F, Niu L, Jia J, Li B, Poovendran R. 2024. {ACE}: A Model Poisoning Attack on Contribution Evaluation Methods in Federated Learning. 33rd USENIX Security Symposium (USENIX Security 24). :4175--4192. Read more about {ACE}: A Model Poisoning Attack on Contribution Evaluation Methods in Federated LearningDBLPGoogle ScholarBibTeX