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India banned Telegram after the NEET paper leak led to a retest for 2.28 million students. Class Central studied the scam, the money trail, and other platforms the leaks could move to.
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Discover how LLMs can protect themselves from jailbreaking attacks using SelfDefend, a shadow stack-inspired defense framework that works across open and closed-source models.
Discover Waltzz, a greybox fuzzing framework for WebAssembly runtimes using stack-invariant transformations to uncover security vulnerabilities and bugs effectively.
Discover TapTrap, a zero-permission Android attack exploiting UI animations to bypass security defenses and execute unauthorized actions through deceptive user interactions.
Discover Posthammer, a JavaScript-based Rowhammer attack that postpones memory refresh commands to trigger bit flips on 86% of DDR4 devices through browser exploitation techniques.
Uncover critical vulnerabilities in Tor's client puzzle system through OnionFlation attacks that exploit DoS mitigation mechanisms in onion services.
Discover the first successful Rowhammer attack on NVIDIA GPUs, revealing GDDR6 vulnerabilities that can inject bit-flips and compromise ML model accuracy by up to 80%.
Discover how websites comply with California's Global Privacy Control requirements through large-scale analysis of 11,708 sites and privacy strings over time.
Discover a novel framework for measuring machine unlearning effectiveness that addresses privacy concerns by quantifying sample-level completeness without costly retraining.
Discover formal verification methods for Apple's quantum-resistant iMessage PQ3 protocol through detailed security analysis using TAMARIN prover and post-quantum cryptography principles.
Uncover Branch Privilege Injection vulnerabilities that exploit race conditions in Intel CPU branch predictors to bypass Spectre v2 mitigations and leak kernel memory.
Discover a breakthrough framework combining homomorphic encryption and secure multi-party computation for private Transformer inference with 21x communication reduction.
Discover SNI5GECT, a framework for real-time 5G message sniffing and targeted attack injection without rogue base stations, achieving 80% sniffing accuracy and 70-90% injection success.
Explore systematic evaluation of 5 randomized cache designs against occupancy attacks, revealing security gaps and proposing uniform benchmarking for fair performance comparison.
Discover new black-box methods for statistically assessing f-Differential Privacy without prior algorithm knowledge, featuring complete trade-off curve estimation and violation detection.
Discover Harness, a lightweight security framework protecting vehicle control systems from Android Automotive OS vulnerabilities through hypervisor isolation.
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