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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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Explores vulnerabilities in AMD's Secure Encrypted Virtualization, demonstrating attacks on I/O operations and constructing primitives to breach VM memory encryption, highlighting security risks in emerging technology.
Explores limitations of location privacy mechanisms in mobile crowdsourcing, revealing inadequate protection and significant utility impact. Proposes new research directions for privacy-preserving solutions.
Explores bandwidth denial-of-service attacks against Tor, demonstrating feasibility and impact on network performance through experimentation and simulation. Analyzes costs and effects of various attack strategies.
Explores utility-optimized local differential privacy mechanisms for distribution estimation, enhancing data utility while maintaining privacy for sensitive information.
Explores Internet-based child exploitation crimes, their long-term impact on victims, and forensic tools for proactive rescue. Discusses privacy technology's role in both protection and potential misuse.
Explore the alarming rise of commercial spyware tools used by nation-states for covert surveillance and sabotage. Learn about Citizen Lab's methodology for uncovering abuses and the challenges posed by zero-click attacks.
Reverse engineering neural networks through electromagnetic side channels, revealing architecture details like activation functions, layers, neurons, and weights using non-invasive techniques on ARM Cortex-M3 microcontrollers.
Explore how embracing "hacky" solutions in cybersecurity can enhance enterprise defense. Learn innovative strategies and custom detection techniques to gain an advantage over attackers.
Explores alignment between COPPA regulations and parents' privacy expectations for smart toys, using contextual integrity surveys to quantify regulatory effectiveness and identify nuanced privacy concerns.
Investigates vulnerabilities in aircraft instrument landing systems to wireless attacks using software-defined radio, demonstrating potential for spoofing signals and causing off-runway landings in low-visibility conditions.
Unveils TESSERACT framework to eliminate spatial and temporal biases in Android malware classification, improving real-world robustness and revealing counterintuitive performance insights.
Exploring technology's role in victim service provider-survivor interactions, balancing trust-building and risk mitigation for human trafficking survivors' recovery and empowerment.
Innovative approach to enhance privacy for Bitcoin lightweight clients using SGX enclaves, combining trusted execution and private information retrieval techniques for improved security without compromising performance.
Innovative fuzzing technique for programs with structured inputs, synthesizing complex structures on-the-fly without pre-configuration, outperforming existing methods and uncovering 19 memory corruption bugs.
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