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Mitigating Browser Fingerprint Tracking: Multi-level Reconfiguration and Diversification.

, , and . SEAMS@ICSE, page 98-108. IEEE Computer Society, (2015)

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Beauty and the Beast: Diverting Modern Web Browsers to Build Unique Browser Fingerprints., , and . IEEE Symposium on Security and Privacy, page 878-894. IEEE Computer Society, (2016)Mitigating Browser Fingerprint Tracking: Multi-level Reconfiguration and Diversification., , and . SEAMS@ICSE, page 98-108. IEEE Computer Society, (2015)FP-STALKER: Tracking Browser Fingerprint Evolutions., , , and . IEEE Symposium on Security and Privacy, page 728-741. IEEE Computer Society, (2018)Browser Fingerprinting: A survey., , , and . CoRR, (2019)Unnecessarily Identifiable: Quantifying the fingerprintability of browser extensions due to bloat., , , and . WWW, page 3244-3250. ACM, (2019)Hiding in the Crowd: an Analysis of the Effectiveness of Browser Fingerprinting at Large Scale., , and . WWW, page 309-318. ACM, (2018)Less is More: Quantifying the Security Benefits of Debloating Web Applications., , and . USENIX Security Symposium, page 1697-1714. USENIX Association, (2019)Fp-Scanner: The Privacy Implications of Browser Fingerprint Inconsistencies., , , and . USENIX Security Symposium, page 135-150. USENIX Association, (2018)Time Does Not Heal All Wounds: A Longitudinal Analysis of Security-Mechanism Support in Mobile Browsers., , , and . NDSS, The Internet Society, (2019)Morellian Analysis for Browsers: Making Web Authentication Stronger with Canvas Fingerprinting., , , and . DIMVA, volume 11543 of Lecture Notes in Computer Science, page 43-66. Springer, (2019)