Tag: ARTICLE

Query attacks are a type of cybersecurity attack specifically targeting machine learning models. In essence, attackers issue a series of queries, usually input data fed into the model, to gain insights from the model's output. This could range from understanding the architecture and parameters of the model to uncovering the actual data on which it was trained. The nature of these attacks is often stealthy and surreptitious, designed to mimic legitimate user activity to escape detection.

Network Attacks: A Deep-dive Network attacks are a class of exploits that focus on the isolation and manipulation of individual nodes or groups of nodes....

Smart Contract Risk and How to Mitigate It: A Deep-dive The strengths of smart contracts are also the source of its weaknesses, and will always...

The full story behind the exploit that led to the fraudulent minting of 120,000 wETH and threatened to crash Solana. Early February of 2022 was...

The utopian view of the blockchain as an unhackable alternative to the status quo is a pipedream. Many traditional cyberattacks are effective in a...

Differential Privacy is a privacy paradigm that aims to reconcile the conflicting needs of data utility and individual privacy. Rooted in the mathematical theories of privacy and cryptography, Differential Privacy offers quantifiable privacy guarantees and has garnered substantial attention for its capability to provide statistical insights from data without compromising the privacy of individual entries. This robust mathematical framework incorporates Laplace noise or Gaussian noise algorithms to achieve this delicate balance.

Cyber-Attack Strategies in the Blockchain Era - A Framework for Categorizing the Emerging Threats to the Crypto Economy Market attacks Rely on the mass-manipulation of investors...

As quantum technologies garner global attention, its economic and national security implications are positioning these set of technologies alongside AI and 5G as pivotal emerging technologies for the future. Governments worldwide are recognizing the strategic importance of quantum technologies, which broadly includes quantum computing, quantum communication and quantum sensing.

Self-help authors and politicians seem to agree on at least one thing: mindset matters. The shelves of bookstores worldwide are awash with motivational books...

While I add a similar disclaimer to all of my public content, it's particularly important in this case to emphasize that the convictions I've...

Read Part 1: Why Part 2: How One day, sitting in the shed he called home, the journalist, Oobah Butler, had an idea: he would turn...

How window-dressing chips away at any tangible rewards companies could reap from neurodiversity efforts. Diversity has made a dent in the public consciousness. With...

Many believe total anonymity is possible using privacy enhanced cryptocurrencies. It might not always be the case. Are popular cryptocurrencies like Bitcoin and Ethereum private? Absolutely...

Trust comes through understanding. As AI models grow in complexity, they often resemble a "black box," where their decision-making processes become increasingly opaque. This lack of transparency can be a roadblock, especially when we need to trust and understand these decisions. Explainable AI (XAI) is the approach that aims to make AI's decisions more transparent, interpretable, and understandable. As the demand for transparency in AI systems intensifies, a number of frameworks have emerged to bridge the gap between machine complexity and human interpretability. Some of the leading Explainable AI Frameworks include:

The DeFi revolution presents new risks and challenges for innovators, regulators, cybersecurity experts and early adopters of the powerful technology. These are the top...